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Academic literature on the topic 'Mammography'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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Journal articles on the topic "Mammography"

1

Levy, L. "Mammographie numériqueDigital mammography." Gynécologie Obstétrique & Fertilité 31, no. 10 (October 2003): 856–66. http://dx.doi.org/10.1016/j.gyobfe.2003.08.005.

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Moulion Tapouh Jean Roger, Djanteng Seuji Priscille, Dongmo Fomekong Sylviane, Nwatsock Joseph Francis, Onana Yannick Richard, Mbede Maggy, Maleu Mbah Félicité, and Moifo Boniface. "Mammography supply for breast cancer screening at the eve of Universal Health Coverage in Yaounde city (Cameroon, Central Africa)." Journal Africain d Imagerie Médicale (J Afr Imag Méd) Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF) 16, no. 2 (June 18, 2024): 51–56. http://dx.doi.org/10.55715/jaim.v16i2.590.

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RÉSUMÉ Introduction : Le cancer du sein reste le cancer le plus répandu chez les femmes dans le monde. Le Cameroun a adopté une politique annuelle de dépistage par mammographie pour les femmes âgées de 40 ans et plus. Objectif : Évaluer la capacité de l'offre actuelle de mammographie à répondre aux besoins de dépistage du cancer du sein dans la ville de Yaoundé. Méthodes : Etude transversale ciblant les services de radiologie comportant une unité de mammographie dans la ville de Yaoundé (Cameroun, Afrique Centrale) de janvier 2021 à juin 2021. Nous avons collecté la géolocalisation, le nombre de mammographies réalisées par mois et le coût d'une mammographie de dépistage dans chaque service radiologie. La capacité était définie comme le nombre d'unités de mammographie disponibles pour 10 000 femmes âgées de 40 ans et plus. Résultats : A Yaoundé, 37,78% (17/45) des services de radiologie disposaient d'un appareil de mammographie, et 76,47% (13/17) de ces appareils étaient en état de fonctionnement au moment de l'étude. Le nombre médian de mammographies réalisées par mois dans chaque service était de 15 [8-60], et le coût médian d'une mammographie de dépistage était de 53.55 US dollars [48.68 - 64.9]. Les unités de mammographie étaient principalement situées dans le centre administratif, mais elles étaient accessibles à moins d'une heure de route depuis n'importe quel endroit de la ville. La capacité était estimée à 0,32 pour 10 000 femmes âgées de 40 ans, ce qui suffisait à peine à couvrir 19,54 % des besoins en mammographie de dépistage chez les femmes éligibles. Conclusion : L'offre de services de mammographie dans la ville de Yaoundé était insuffisante pour couvrir les besoins en matière de dépistage du cancer du sein en 2021. Les unités de mammographie fonctionnelles étaient accessibles mais sous-utilisées. Des recherches supplémentaires sont nécessaires pour identifier les obstacles au dépistage par mammographie et la rareté des unités de mammographie à Yaoundé. ABSTRACT Background: Breast cancer remains the most common cancer among women worldwide. Cameroon has adopted an annual mammography screening policy for women aged 40 years and over. Objective: To evaluate the capacity of the current mammography supply to meet the needs for breast cancer screening in Yaounde City. Methods: Cross-sectional study targeting radiology departments containing a mammography unit in Yaounde (Cameroon, Central Africa) from January 2021 to June 2021. We collected the geolocation, number of mammograms performed per month, and cost of a screening mammogram for each radiology service. We calculated mammography capacity as the number of mammography units per 10,000 women aged 40 and above. Results: In Yaounde, 37.78% (17/45) of radiology departments had a mammography unit, and 76.47% (13/17) of these units were in operating condition at the time of the study. The median number of mammograms performed per month in each service was 15 [8 - 60], and the median cost of a screening mammogram was 53.55 US dollars [48.68 - 64.9]. Mammography units were mainly located in the administrative center, but they were accessible within an hour's drive from any location in the city. The capacity was estimated to be 0.32 per 10,000 women aged 40, which was only enough to cover 19.54% of the needs for screening mammography in eligible women. Conclusion: Mammography service supply in Yaounde was critically insufficient to cover breast cancer screening needs in 2021. Functional mammography units were accessible but underutilized. Further research is needed to identify the barriers to mammography screening and the scarcity of mammography units in Yaounde.

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Belaya, Yu A. "Effectiveness of mammography screening for women aged 40–49." Tumors of female reproductive system 18, no. 2 (September 16, 2022): 60–66. http://dx.doi.org/10.17650/1994-4098-2022-18-2-60-66.

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The aim of the work was to review randomized controlled trials regarding the efficacy of screening mammography in women aged 40–49 years.Google Scholar and PubMed databases were searched for English-language publications for randomized controlled trials. Inclusion criteria were studies evaluating the possible benefit/harm of mammographic screening in women 40–49 years old, a follow-up period of at least 10 years, primary breast cancer, regarding as primary outcomes reduction of breast cancer mortality, and side effects screening mammography.A search for the specified keywords found 2453 sources in electronic databases, of which only 83 studies were published as articles. After analyzing these studies, only 5 studies met the inclusion criteria. An analysis of these studies according to the inclusion criteria is subsequently presented in the article.Based on the available data from randomized trials, no definitive conclusion about the effectiveness of mammographic screening in women 40–49 years of age can yet be drawn. Therefore, it is too early to draw a line in the debate about the appropriateness of mammography in the 40–49 age group.

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Larin, A. G., and A. R. Dabagov. "Digital Mammography Device for Mobile Mammography Complex." Radiology - Practice, no. 3 (July 6, 2021): 62–69. http://dx.doi.org/10.52560/2713-0118-2021-3-62-69.

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The results of the development of a mammographic unit with a digital flat-panel detector designed for for installation in a mobile medical X-ray room are presented.The mammographic unit with a digital flat-panel detector is designed for screening and other specialized mammographic examinations, provides the ability to perform full-format raster (using a screening raster) mammography, X-ray of the armpits.

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Panta, Sujata, Rajive Raj Shahi, Sujit Panta, Bina Basnet, Kalpana Rai, and Neeraj Basanta Tulachan. "Role of Breast Ultrasonography in Adding Diagnostic Value in Case of Dense Breasts Detected by Mammography." Medical Journal of Shree Birendra Hospital 20, no. 1 (February 2, 2021): 59–64. http://dx.doi.org/10.3126/mjsbh.v20i1.31025.

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Introduction: Mammography is a simple and effective tool in early detection of breast lesions. However its sensitivity is less in dense breast. The aim of the study is to see whether addition of ultrasonography adds on to the diagnostic value by finding more breast lesions in evaluation of mammographic dense breasts or not. Methods: The hospital data of all the patients who underwent mammography in the Department of Radiology of Shree Birendra Hospital, Kathmandu over a period of two and a half years from November 2017 to April 2020 were retrieved and retrospectively analyzed. The mammographic findings of patients with dense breast were compared with the corroborative ultrasonographic findings. Discrepancy in positive findings between the two imaging modalities was studied. Results: Out of 536 patients studied, 238 patients had mammographic dense breast. Comparative study showed 82 cases with positive findings on mammography alone, compared to 114 cases with positive findings on combined mammography and ultrasonography with p-value < 0.05 which is statistically significant. Conclusions: Ultrasonography is a useful additional imaging modality in evaluation of mammographic dense breast by finding more breast lesions compared to Mammography alone.

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Mohson, Khaleel, Tara F. Kareem, and Anas K. Awn. "Ultrasound Findings of MammographicallyDense Breasts in a Sample of Iraqi Female PatientsDOI:https." Journal of the Faculty of Medicine Baghdad 61, no. 1 (July 29, 2019): 39–43. http://dx.doi.org/10.32007/jfacmedbagdad.611690.

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Background: Breast problems including breast cancer have been increasing in Iraq during the recent years. Yet, early detection and screening programs using mammography mainly with complementary ultrasound had dramatically decreased the mortality rates from this emerging disease. Objective: To assess the dense breast detected by mammography for the presence of any hidden suspicious lesion by using ultrasound. Patients and methods: this is a cross - sectional study on 53 female patients who came for breast cancer screening or attended the Breast Clinic in the Oncology Teaching Hospital of the Medical City Complex in Baghdad –Iraq. The study was conducted from January to October 2018. Two -view mammography was done for each breast, and those with dense breasts underwent further ultrasound assessment done by a board- certified radiologist. Results: The mean age for the 53 patients included in the study was 48 years. Mammographic findings showed that heterogeneous fibroglandular tissue density was present in (89%) of the study population. Suspicious or clearly defined mass(es) by mammograph were seen in 16 (30%) of the patients, while no mass was identified in (22%). Ultrasound findings we re as follows: Suspicious mass in (75%) of the cases and benign lesions such as simple cysts or fibroadenoma in (9%). The results showed that ultrasound has upgraded 12 cases that were diagnosed as BI -RADS I/II to BI-RADS IV/V and this represented (23%) of the cases. On the other hand, the mammogram and the ultrasound were in concordance for BI RADS IV/V in 28 cases (54%). The positive predictive value of the ultrasound and the mammogram for BI - RADS IV and V breast lesions is 72% for BI - RADS IV and 95% for BI - RADS V for ultrasound and that of mammograph is 83% for BI - RADS IV 80% for BI- RADS V, while the negative predictive value of mammograph is 55% for BI - RADS I/II 25% for BI - RADS III. Conclusion: Dense breast is still an important problematic issue in mammographic screening as it may obscure small lesions, for which, ultrasound is proved to be a complementary and essential targeting tool in the assessment process.

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Howard, Daniel, Simon C. Roberts, Conor Ryan, and Adrian Brezulianu. "Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network." Journal of Biomedicine and Biotechnology 2008 (2008): 1–11. http://dx.doi.org/10.1155/2008/526343.

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In nationwide mammography screening, thousands of mammography examinations must be processed. Each consists of two standard views of each breast, and each mammogram must be visually examined by an experienced radiologist to assess it for any anomalies. The ability to detect an anomaly in mammographic texture is important to successful outcomes in mammography screening and, in this study, a large number of mammograms were digitized with a highly accurate scanner; and textural features were derived from the mammograms as input data to a SONNET selforganizing neural network. The paper discusses how SONNET was used to produce a taxonomic organization of the mammography archive in an unsupervised manner. This process is subject to certain choices of SONNET parameters, in these numerical experiments using the craniocaudal view, and typically produced O(10), for example, 39 mammogram classes, by analysis of features from O() mammogram images. The mammogram taxonomy captured typical subtleties to discriminate mammograms, and it is submitted that this may be exploited to aid the detection of mammographic anomalies, for example, by acting as a preprocessing stage to simplify the task for a computational detection scheme, or by ordering mammography examinations by mammogram taxonomic class prior to screening in order to encourage more successful visual examination during screening. The resulting taxonomy may help train screening radiologists and conceivably help to settle legal cases concerning a mammography screening examination because the taxonomy can reveal the frequency of mammographic patterns in a population.

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Van Brenk, Bert, and James L. Mahoney. "Misdiagnosis of Breast Implant Rupture with Mammography." Canadian Journal of Plastic Surgery 6, no. 1 (March 1998): 17–18. http://dx.doi.org/10.1177/229255039800600104.

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B Van Brenk, JL Mahoney. Misdiagnosis of breast implant rupture with mammography. Can J Plast Surg 1998;6(1):17-18. Diagnosis of intracapsular ruptures of silicone breast implants with mammography can be difficult. A case is presented where mammography was used to diagnose an implant rupture with both a false positive and false negative result in the same patient. The mammographic features of breast implant ruptures are discussed.

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Rissanen, Tarja J., Hanna P. Mäkäräinen, Meeri A. Apaja-Sarkkinen, and Eija-Leena Lindholm. "Mammography and Ultrasound in the Diagnosis of Contralateral Breast Cancer." Acta Radiologica 36, no. 4-6 (July 1995): 358–66. http://dx.doi.org/10.1177/028418519503600406.

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Forty-nine (5%) of 956 women referred for follow-up imaging after breast cancer treatment had a malignancy in both breasts. The mammograms and ultrasonograms or US reports, and histologic slides or pathologic reports of 31 of these patients were reviewed. Mammography was more sensitive than clinical examination or US in detecting contralateral breast cancer, the sensitivity of mammography being 81%. Thirty-nine percent of the contralateral cancers were nonpalpable, and all were first detected at mammography. No cancers were depicted by US alone. US provided complementary information about palpable masses in 50% of the cases in which the mammographic finding was difficult to interpret. The mammographic appearance and the difficulties in detecting a contralateral cancer were similar to those known to be characteristic for first primaries. Distinguishing a new primary from a metastasis from the first breast cancer was not always possible by means of mammography or US.

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Jankovic, Ana, Mirjan Nadrljanski, Vesna Plesinac-Karapandzic, Nebojsa Ivanovic, Zoran Radojicic, and Zorica Milosevic. "Posterior breast cancer: Mammographic and ultrasonographic features." Vojnosanitetski pregled 70, no. 11 (2013): 1034–38. http://dx.doi.org/10.2298/vsp120726032j.

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Background/Aim. Posterior breast cancers are located in the prepectoral region of the breast. Owing to this distinctive anatomical localization, physical examination and mammographic or ultrasonographic evaluation can be difficult. The purpose of the study was to assess possibilities of diagnostic mammography and breast ultrasonography in detection and differentiation of posterior breast cancers. Methods. The study included 40 women with palpable, histopathological confirmed posterior breast cancer. Mammographic and ultrasonographic features were defined according to Breast Imaging Reporting and Data System (BI-RADS) lexicon. Results. Based on standard two-view mammography 87.5%, of the cases were classified as BI-RADS 4 and 5 categories, while after additional mammographic views all the cases were defined as BIRADS 4 and 5 categories. Among 96 mammographic descriptors, the most frequent were: spiculated mass (24.0%), architectural distortion (16.7%), clustered microcalcifications (12.6%) and focal asymmetric density (12.6%). The differentiation of the spiculated mass was significantly associated with the possibility to visualize the lesion at two-view mammography (p = 0.009), without the association with lesion diameter (p = 0.083) or histopathological type (p = 0.055). Mammographic signs of invasive lobular carcinoma were significantly different from other histopathological types (architectural distortion, p = 0.003; focal asymmetric density, p = 0.019; association of four or five subtle signs of malignancy, p = 0.006). All cancers were detectable by ultrasonography. Mass lesions were found in 82.0% of the cases. Among 153 ultrasonographic descriptors, the most frequent were: irregular mass (15.7%), lobulated mass (7.2%), abnormal color Doppler signals (20.3%), posterior acoustic attenuation (18.3%). Ultrasonographic BI-RADS 4 and 5 categories were defined in 72.5% of the cases, without a significant difference among various histopathological types (p = 0.109). Conclusion. Standard two-view mammography followed by additional mammographic projections is an effective way to demonstrate the spiculated mass and to classify the prepectoral lesion as category BI-RADS 4 or 5. Additional ultrasonography can overcome the mimicry of invasive lobular breast carcinoma at mammography.

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Dissertations / Theses on the topic "Mammography"

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Marti, Robert. "Multi-modality mammography." Thesis, University of East Anglia, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251724.

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Coakley, Kerry Shona. "Phase contrast mammography." Thesis, Queensland University of Technology, 2000.

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Kessler, Cecilia. "Développement et mise en place au BIPM d’un systéme international de comparaison et d’étalonnage pour la dosimétrie en mammographie." Thesis, Paris, CNAM, 2013. http://www.theses.fr/2013CNAM0864/document.

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La mammographie est une technique d’imagerie par rayons x, considérée comme la technique actuelle la plus efficace pour dépister le cancer du sein à un stade précoce. A cause des risques de carcinogenèse induite par les rayonnements associés à l’examen par rayons x, il est donc essentiel de réaliser un étalonnage précis du faisceau de rayonnements afin de réduire au maximum la dose de rayonnement délivrée au sein du patient et d’obtenir la meilleure qualité d’image possible. L’étalonnage du faisceau de rayons x est effectué avec des chambres d’ionisation, instruments du commerce qui doivent être préalablement étalonnées dans des laboratoires d’étalonnage de référence, de préférence dans le même type de faisceaux de rayonnements que celui utilisé pour le diagnostic.Dans un pays donné, les laboratoires d’étalonnage de référence en dosimétrie des rayonnements sont généralement rattachés au laboratoire national de métrologie ; ce sont des laboratoires de référence primaires ou secondaires de dosimétrie. Les laboratoires primaires vérifient l’exactitude de leurs mesures conduites avec des étalons primaires en participant à des comparaisons internationales alors que les laboratoires secondaires, détenteurs d’étalons secondaires, doivent procéder à la caractérisation de leurs instruments de référence.Afin de répondre aux besoins des laboratoires nationaux de métrologie le Bureau international des poids et mesures (BIPM) maintient des étalons de référence stables pour la dosimétrie des rayonnements ionisants et met à disposition de ses États Membres des équipements internationaux pour la comparaison des étalons primaires et la caractérisation des étalons nationaux secondaires afin d’assurer l’unification mondiale des mesures et leur traçabilité au Système international d’unités (SI).Le Département des rayonnements ionisants du BIPM a effectué les premières comparaisons internationales dans des faisceaux de rayons x aux basses énergies en 1966 et, en 2001, les Instituts nationaux de métrologie (INM) ont pour la première fois proposé que le BIPM étende ses activités à la mammographie.Une description du travail que j’ai entrepris au BIPM pour répondre aux besoins des laboratoires nationaux de métrologie en matière de comparaisons et d’étalonnages dans ce domaine est présentée dans cette thèse et distribuée en quatre parties : l’établissement de sept faisceaux de rayonnement en utilisant un tube à rayons x à anode en tungstène et filtre en molybdène (faisceau W/Mo); l’installation d’un tube à rayons x à anode en molybdène avec filtre en molybdène et l’établissement de quatre faisceaux de rayonnement (faisceau Mo/Mo); conception et fabrication d’un nouvel étalon primaire pour la dosimétrie dans les faisceaux mammographiques. la création d’une nouvelle série de comparaisons en continu du BIPM, identifiées dans la base de données du BIPM sur les comparaisons clés KCDB sous la référence BIPM.RI(I)-K7 et un programme pour l’étalonnage des étalons nationaux secondaires qui inclut le nouveau dispositif expérimental dans le système managérial de la qualité du département des rayonnements ionisants (RI) du BIPM.L’expertise acquise lors de ce travail est maintenant transféré aux INM pour les aider dans le développement de leurs propres étalons primaires et à améliorer leurs dispositifs expérimentaux existants. Jusqu’à aujourd’hui 6 comparaisons ont été menées à bien dans le nouveau dispositif expérimental établi au BIPM ; la participation à la nouvelle comparaison–clé continue permet aux INM de soutenir leurs capacités d’étalonnages et de mesures (CMC). La caractérisation et l’étalonnage des étalons nationaux secondaires ont été réalisés pour l’heure pour 5 INM
Mammography is an x-ray examination of the breast, considered to be the most sensitive technique currently available for early detection of breast cancer. Because of risks of radiation-induced carcinogenesis associated with the use of x rays, accurate calibration of the x-ray unit is essential in order to minimize the radiation dose delivered to the patient breast but having a good image quality. The beam calibration is made using ionization chambers, commercial instruments that need to be characterized at standard reference dosimetry laboratories in well-defined x-ray beams similar to those used in the diagnostic institutes.Standard reference laboratories for radiation dosimetry are usually part of the National Metrology Institute of each country; they can either be Primary or Secondary Standard Dosimetry Laboratories. Primary Laboratories verify the accuracy of their measurements using the primary standards by taking part in international comparisons while the Secondary Laboratories, holding secondary standards, need the characterization of their reference instruments. In order to fulfil these requirements of the National Metrology Institutes (NMIs), the Bureau International des Poids et Mesures (BIPM) maintains stable reference standards for radiation dosimetry and provides to the its Member States an international facility for comparisons of primary standards and characterization of secondary standards to ensure world-wide uniformity of measurements and their traceability to the International System of Units (SI).The Ionizing Radiation Department of the BIPM started international comparisons and characterizations in low-energy x-ray beams in 1966 and in 2001, the NMIs required the BIPM to extend these activities to mammography beams. A description of the work I carried out at the BIPM to provide an international facility for comparisons and calibrations in the mammography field is presented in this thesis, divided into four stages:  establishment of seven reference radiation beams using the combination tungsten-anode x-ray tube and molybdenum filtration (W/Mo beams);  installation of a molybdenum-anode x-ray tube with molybdenum filtration and establishment of four reference radiation beams (Mo/Mo beams);  design and construction of a new primary standard free-air chamber for the dosimetry of the mammography beams;  establishment of a new ongoing international comparison in the new reference mammography beams, registered in the BIPM key comparison database KCDB as BIPM.RI(I)-K7 and a programme for the calibration of national secondary standards by including the new facility in the quality management system of the Ionizing Radiation (IR) Department of the BIPM.The experience obtained during this work is now transferred to the NMIs to help them in the development of primary standards and to improve their existing facilities.To date, six successfully comparisons have been carried out in the new facility established at the BIPM; the participation in the new ongoing key comparison allow the NMIs to support their calibration and measurement capabilities (CMCs). Characterization and calibration of national secondary standards have been done for five NMIs

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Li, Yanpeng. "Mammographic Density Assessment: Inter-Reader Variability And Novel Phantom Quantification." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/13820.

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Aims: This thesis aims to investigate the level of consistency in radiologists’ mammographic density (MD) reporting and to investigate the reasons that lead to reporting variability, and then to develop novel, affordable phantom images to validate imaging parameters linked with MD assessment. Methods: Project one: 17 radiologists were asked to report the BI-RADS density category and to manually segment the areas they regarded as MD for 40 clinical images. The consistency in the BI-RADS density reporting was quantified, and the impact of MD segmentation was investigated. For radiologists’ MD segmentation, the variation was quantified and the impact of image appearance was explored. Project two: A set of 100 phantom images were generated. Phantoms were manufactured using various masses and distributions of fine steel-wool set within a gelatine base to simulate the glandular and adipose tissue. A clustered lumpy background noise was added to the phantom images to simulate more complex images. The correlations between the simulated fibroglandular tissue mass and a series of imaging parameters were explored. Results: For the BI-RADS density reporting, k=0.477 for the 17 participants. In 450 out of 656 paired cases (approx. 69%), the BI-RADS categories matched the MD segmentation categories. The range of MD segmentation areas varied from 7% to 73% across the 40 images. The mean gray level value for 8 bit images being 146±19 vs. 99±14 for common and variation areas respectively. For the phantom project, very strong correlation was found for the standard deviation of mean intensity for the whole phantom image (r = 0.83, p<0.01). For the selected dense regions, very strong were shown for percentage density (r = 0.91, p<0.01), and integrated density (r = 0.93, p<0.01). Very strong and significant correlations remained after the lumpy noise was added. Conclusion: There were large variations for both MD reporting and MD identification between radiologists. In addition to subjectivity in reporting a category, the variation in radiologist MD identification is another major reason that leads to inconsistency in density reporting. Using our novel and affordable phantom, in addition to percentage density, the integrated density and the standard deviation of mean intensity may be used to facilitate MD quantification.

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Finn, Jane Rebecca. "Digital image processing for mammography." Thesis, Imperial College London, 1997. http://hdl.handle.net/10044/1/8888.

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Gabe, Rhian. "Observational evaluation of service mammography." Thesis, Queen Mary, University of London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440554.

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Rogers, Donna Marie. "Space, place and mammography utilization /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487948807585408.

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Benevides, Luis Alberto do Rego. "Breast dosimetry in clinical mammography." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011521.

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Barnabò, Andrea. "Machine learning techniques for mammography applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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During this work we will use machine learning and deep learning techniques in order to face up to some medical problems where they can play a basic role. In particular we will apply these algorithms to some mammography issues. The thesis presents three main experiments that are described below. The first one consists of a classification between nipples and non-nipples images. In this part of the work we will build a dataset composed by images belonging to these two classes. The main purpose here will be to build a classifier able to distinguish between nipple and non-nipple images. Several machine learning algorithms based on different models such as Support Vector Machine and Convolutional Neural Networks will be used in order to perform this task. In this experiment we will note the better classification capacity of the model based on Convolutional Neural Network. In the following section we will confront with an harder and usefull problem: the classification of tumoral masses vs non-tumoral masses. Therefore we will use a dataset composed by these two classes of images. We will perform again a classification either with Support Vector Machine or Convolutional Neural Networks. During this experiment we will obtain excellent results with the Convolutional Neural Networks and Support Vector Machine combined with a scattering network representation. The last part of the thesis consist of a realization of a complete CADx system . Here we will combine the models trained in the previous part and we will compare the results obtained by using them with the state of art.

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10

Brooks, Kenneth W. "Automated analysis of mammography phantom images." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/17900.

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Books on the topic "Mammography"

1

Lattanzio, Vincenzo, and Giovanni Simonetti. Mammography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-27252-6.

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Lanyi, Marton. Mammography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55632-6.

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Haehnel, Pierre, and Christian Kleitz. Mammography. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-70383-6.

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4

General, United States Public Health Service Office of the Surgeon. Mammography. [Washington, D.C.?]: Dept. of Health and Human Services, 1987.

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M, Hansell David, and Parsons C. A, eds. Mammography. Chicago, Ill: Year Book Publishers, 1988.

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A, Rachofsky Faith, and International Cancer Research Data Bank., eds. Mammography. Bethesda, MD: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Cancer Institute, International Cancer Research Data Bank, 1989.

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Cooke, Julie. Mammography. Chicago, Ill., USA: Year Book Medical Publishers, 1988.

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Krupinski, Elizabeth A., ed. Digital Mammography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70538-3.

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Hogg, Peter, Judith Kelly, and Claire Mercer, eds. Digital Mammography. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-04831-4.

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Whitman, Gary J., and Tamara Milner Haygood, eds. Digital Mammography. Cambridge: Cambridge University Press, 2012. http://dx.doi.org/10.1017/cbo9781139049337.

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Book chapters on the topic "Mammography"

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Unett, Elizabeth M., and Amanda J. Royle. "Mammography." In Radiographic Techniques and Image Evaluation, 259–70. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2997-6_10.

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Ma, Bing. "Mammography." In An Introduction to Medical Physics, 199–219. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61540-0_7.

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Gregl, Anton, Olcay S. Cigtay, and Carolyn J. Harrington. "Mammography." In Cancer Management in Man, 57–95. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2536-6_7.

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Wolner, Kathleen. "Mammography." In Encyclopedia of Women’s Health, 751–53. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48113-0_251.

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Chapa, Griselda, and Antonio P. Linares. "Mammography." In Encyclopedia of Immigrant Health, 1033–40. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-5659-0_480.

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Cavanaugh, Barbara C., and Sorcha McNally. "Mammography." In Breast Cancer Risk Reduction and Early Detection, 117–32. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-87583-5_6.

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McLelland, R. "Mammography." In A Short Textbook of Clinical Imaging, 411–27. London: Springer London, 1990. http://dx.doi.org/10.1007/978-1-4471-1755-1_23.

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Chotai, Niketa, and Supriya Kulkarni. "Mammography." In Breast Imaging Essentials, 9–14. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1412-8_2.

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dos Santos, Radiá Pereira, and Bruno Hochhegger. "Mammography." In Breast Diseases, 9–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13636-9_2.

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Ng, Kwan Hoong, Jeannie Hsiu Ding Wong, and Geoffrey D. Clarke. "Mammography." In Problems and Solutions in Medical Physics, 63–71. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018]- | Series: Series in medical physics and biomedical engineering: CRC Press, 2018. http://dx.doi.org/10.1201/9781351006781-6.

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Conference papers on the topic "Mammography"

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Corrêa, Rosangela da Silveira, João Emílio Peixoto, Rosemar Macedo Sousa Rahal, Danielle Cristina Netto Rodrigues, Lucy Aparecida Parreira Marins, Suzana Alves Bastos, and Ruffo de Freitas Júnior. "OPPORTUNISTIC MAMMOGRAPHIC SCREENING INDICATORS IN A DECADE IN THE STATE OF GOIÁS: TECHNICAL, SOCIAL, AND ECONOMIC CHARACTERISTICS." In Brazilian Breast Cancer Symposium 2022. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s2028.

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Abstract:

Objective: The aim of this study was to evaluate indicators of opportunistic mammographic screening performed in the state of Goiás, according to technical, social, and economic aspects. Methods: Ecological study, where the Diagnostic Centers that performed mammography, were observed. Data were collected on the characteristics of the equipment, production, value, and sources of payment for the examinations. For the 2019 data, the following variables were analyzed: imaging technology, availability of mammography devices and estimated production, mammography expenditures, and mammographic coverage in the female population aged 40–69 years. The ratio of non-Unified Health System (SUS) and SUS examinations and the Composite Annual Growth Rate (CAGR) were also calculated to compare the indicators of opportunistic screening between 2008 and 2019. Results: In 2019, 164 mammography machines were identified, and of these, 66 met the SUS. This year, 400,896 examinations were produced at a cost of R$41,931,120.00. The ratio of expenses between non-SUS and SUS care was 10.3, and the number of tests performed for non-SUS and SUS was 3.87. Opportunistic screening coverage was 69.8%, with the share of non-SUS services being 56.3% and SUS only 13.5%. When compared with the results of the 2008 study, a reduction in CAGR was observed: 16.3% for conventional mammography and 17% for digital mammography. The CAGR of the female population was 1.9%, and those aged 40–69 years showed an annual increase of 3.5%. There was an increase in the number of equipment used with a CAGR of 4.3% per year and an increase in the number of examinations of 2.5% per year; the CAGR of mammography coverage was -0.9% per year. Conclusion: The indicators show improvement in the technology park. The annual growth of the female population demonstrates an aging population, and the increase in the number of examinations was just enough to maintain mammography coverage.

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Whitman, Gary J., and Daniel B. Kopans. "Mammography." In Advances in Optical Imaging and Photon Migration. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/aoipm.1996.gp2.

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Freedman, M. "Image processing in digital mammography: the optimum image for each woman's breasts." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960484.

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Hanson, M. E. "Imaging standards in the national breast screening programme." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960485.

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Tesic, M. "Digital mammography scanner: performance characteristics and preliminary clinical results." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960486.

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Highnam, R. P. "A representation for mammographic image processing." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960487.

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Undrill, P. "Texture analysis and boundary refinement to outline mammography masses." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960488.

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Calder, B. "Statistical models for the detection of abnormalities in digital mammography." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960489.

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Hume, A. "Microcalcification detection for mass screening programmes." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960490.

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Coffield, P. C. "Parallel Algebraic Logic (PAL): a dual use technology." In IEE Colloquium on Digital Mammography. IEE, 1996. http://dx.doi.org/10.1049/ic:19960491.

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Reports on the topic "Mammography"

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Nishikawa, Robert M. Cancer Missed on Mammography. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada433868.

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Yankaskas, Bonnie C. Population-Based Mammography Registry. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada361525.

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Nishikawa, Robert M. Cancers Missed on Mammography. Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada411231.

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Nishikawa, Robert M. Cancers Missed on Mammography. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada391285.

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Nishikawa, Robert M. Cancers Missed on Mammography. Fort Belvoir, VA: Defense Technical Information Center, October 1999. http://dx.doi.org/10.21236/ada382517.

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Yankaskas, Bonnie C. Population-Based Mammography Registry. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/adb236135.

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Fajardo, Laurie L. Clinical Evaluation of Digital Mammography. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada406093.

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Pisano, Etta. Evaluation of Digital Mammography Display. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada367536.

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Pisano, Etta. Evaluation of Digital Mammography Display. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada336840.

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Mast, T. D. Quantitative Three-Dimensional Ultrasonic Mammography. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada393042.

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