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Статті в журналах з теми "MpMRI"
Yu, Michelle, Avinash Maganty, Liam C. Macleod, Jonathan G. Yabes, Mina M. Fam, Jathin Bandari, Alessandro Furlan, et al. "Cost implications of multi-parametric magnetic resonance imaging in prostate cancer active surveillance." Journal of Clinical Oncology 37, no. 7_suppl (March 1, 2019): 65. http://dx.doi.org/10.1200/jco.2019.37.7_suppl.65.
Повний текст джерелаVan, Jasper, Choongheon Yoon, Justin Glavis-Bloom, Michelle Bardis, Alexander Ushinsky, Daniel S. Chow, Peter Chang, et al. "Deep learning hybrid 3D/2D convolutional neural network for prostate MRI recognition." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e16600-e16600. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e16600.
Повний текст джерелаMantica, Guglielmo, Nazareno Suardi, Salvatore Smelzo, Francesco Esperto, Francesco Chierigo, Stefano Tappero, Marco Borghesi, et al. "Are Urologists Ready for Interpretation of Multiparametric MRI Findings? A Prospective Multicentric Evaluation." Diagnostics 12, no. 11 (November 1, 2022): 2656. http://dx.doi.org/10.3390/diagnostics12112656.
Повний текст джерелаPye, Hayley, Hashim Ahmed, Susan Heavey, Urszula Stopka-Farooqui, Edward Johnston, Ralph Schiess, Silke Gillessen, Shonit Punwani, Mark Emberton, and Hayley Whitaker. "Evaluation of Proclarix, a prostate cancer risk score, used together with magnetic resonance imaging for the diagnosis of clinically significant prostate cancer." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 278. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.278.
Повний текст джерелаKarzai, Fatima, Ravi Amrit Madan, Adam G. Sowalsky, Marijo Bilusic, Guinevere Chun, Lisa M. Cordes, Scott C. Wilkinson, et al. "A tale of lineage plasticity: Intense neoadjuvant testosterone lowering therapy in localized prostate cancer (PCa) harboring high-risk genomic signatures." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 368. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.368.
Повний текст джерелаTimsit, Marc-Olivier, Giulia Baciarello, Christophe Hennequin, Francois Kleinclauss, Marie Laure Bazil, Philippe Bonnard, Segolene Pettre, Blachier Martin, and Henri Leleu. "Effectiveness of early diagnosis for prostate cancer based on PSA and multiparametric MRI: A simulation study." Journal of Clinical Oncology 39, no. 6_suppl (February 20, 2021): 224. http://dx.doi.org/10.1200/jco.2021.39.6_suppl.224.
Повний текст джерелаSalami, Simpa S., Jeremy B. Kaplan, Srinivas Nallandhighal, Mandeep Takhar, Jeffrey J. Tosoian, Matthew Lee, Junhee Yoon, et al. "Biologic Significance of Magnetic Resonance Imaging Invisibility in Localized Prostate Cancer." JCO Precision Oncology, no. 3 (December 2019): 1–12. http://dx.doi.org/10.1200/po.19.00054.
Повний текст джерелаMaganty, Avinash, Michelle Yu, Liam C. Macleod, Jonathan G. Yabes, Mina M. Fam, Jathin Bandari, Robert Turner, et al. "Increasing utilization of multi-parametric magnetic resonance imaging in prostate cancer active surveillance." Journal of Clinical Oncology 37, no. 7_suppl (March 1, 2019): 125. http://dx.doi.org/10.1200/jco.2019.37.7_suppl.125.
Повний текст джерелаKumar, Abhishek, Dominic LaBella, Michael Snider, Scarlett Acklin-Wehnert, Rajan T. Gupta, Joseph Kamel Salama, and Matthew J. Boyer. "Impact of pre-treatment MRI capsular involvement and extraprostatic extension on metastasis free and overall survival in localized prostate cancer." Journal of Clinical Oncology 42, no. 16_suppl (June 1, 2024): 5097. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.5097.
Повний текст джерелаLashay, Alireza, Jafar Gholivandan, Yaghoob Sehri, Amirreza Elahian, and Mahyar Ghafari. "Correlation Between mpMRI Staging and Final Surgical Pathology in Prostate Cancer." Journal of Molecular Biology Research 10, no. 1 (March 31, 2020): 6. http://dx.doi.org/10.5539/jmbr.v10n1p6.
Повний текст джерелаДисертації з теми "MpMRI"
Lei, Ye [Verfasser]. "Is It Appropriate to Use Only Magnetic Resonance Imaging/transrectal Ultrasound (MRI/TRUS) Fusion Targeted Biopsy for Diagnosis of Prostate Cancer in Patients with Positive mpMRI Results? / Ye Lei." Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1227771495/34.
Повний текст джерелаBrun, Thomas. "Développement de méthode dosimétrique et de quantification du volume cible par IRM multiparamétrique pour le traitement ultra-focal du cancer de la prostate en curiethérapie de grains liés d'iode-125 personnalisés." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES071.
Повний текст джерелаThe conventional treatment of localized prostate cancer, the most common cancer in men, is based on whole-gland treatment approaches and drives a significant risk of adverse effects in terms of continence and sexuality. Currently, various treatment strategies include surgery, external beam radiotherapy, or brachytherapy. However, surgical specimens have shown that in a significant proportion of patients, the risk of cancer progression is associated with a single focus of undifferentiated cancer. Therefore, treating the primary index lesion would achieve both cancer control and preservation of quality of life. Although recent developments in imaging and biopsy technologies can outline the extent of the cancer, the challenge of focusing the required precision with the treatment agent remains a daunting task, and focal treatments proposed between active surveillance of low-risk Prostate Cancer and definitive treatment of aggressive forms are still options under assessment Indeed, focal treatments raise questions that are still imperfectly resolved for an optimal clinical implementation: How to precisely define the target volume? How to focus the therapeutic agent on this target? And finally, how to monitor the rest of the gland after treatment? The aim of this thesis project is to develop and evaluate the dosimetric feasibility of an experimental ultra-focal treatment for prostate cancer using iodine-125 seeds brachytherapy and to develop a quantification method for the precise definition of the primary tumor focus using multiparametric MRI (mpMRI) imaging. To achieve this, the number and activity of I-125 seeds used for conventional prostate brachytherapy are defined based on the volume of the entire gland (approximately 2 seeds/cc). By definition, ultra-focal brachytherapy targets complex-shaped and smaller volumes, prompting us to develop a dosimetric method for implanting multiple seeds with low activity. Secondly, the precision objective in seed delivery led us to implement the sequential use of three distinct imaging systems: mpMRI to inform on the position and volume of the target, 3D transrectal ultrasound to deliver a fiducial marker into the target leveraging non-rigid fusion with mpMRI, and a 2D biplanar ultrasound probe required for treatment planning and seed placement. Finally, the evaluation of treatment quality - that is, the dose delivered to the single target as opposed to the entire gland in conventional brachytherapy - was made possible by developing a quantification method based on the precise definition of the position of the target tumor volume to be treated from mpMRI data and compared to dosimetric data obtained for each patient in the study
Heckmann, Neele Charlotte Kreul [Verfasser]. "Quantitativer Gleason-Score und integrativer quantitativer Gleason-Score in mpMRT/Ultraschall-Fusionsbiopsien der Prostata / Neele Charlotte Kreul Heckmann." Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020. http://d-nb.info/122962564X/34.
Повний текст джерелаHolager, Emma. "The impact of the private security industry on peace-building efforts in Africa : an assessment of Executive Outcomes, MPRI and DynCorp." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6866.
Повний текст джерелаENGLISH ABSTRACT: The emergence and rapid growth of the private security industry in the 1990s followed from the downsizing of the armed forces in the aftermath of the Cold War and the development of new security threats which increased demand for military manpower and expertise. This has led to a redefinition of security strategies and the restructuring of armed forces by Western governments, which has resulted in the elimination of non-core activities from the functions of many armed forces. Recently it has been argued that the private security industry can challenge what previously was believed to be a primary responsibility of states, namely to take on peacebuilding initiatives and support to other peace operations. This study seeks to assess the impact of the private security industry in peacebuilding efforts in African conflicts. The study suggests that the private security industry have taken on a much stronger role in conflicts world wide since the 1990s, and that its activities have significantly changed. Companies such as MPRI and DynCorp have managed to keep close contact with their home governments, which arguably has been a crucial factor to their growing business. Furthermore, the private security industry have sought to distance itself from the negative connotations associated with mercenaries and the activities of companies such as Executive Outcomes in the 1990s, by avoiding operations involving elements of direct combat. This has been illustrated through the extensive case study of the activities of three private military and security companies: Executive Outcomes, MPRI and DynCorp. Furthermore, this thesis has confirmed an increased presence of the United States on the African continent post-9/11, illustrated by the presence of American-based private military and security companies which arguably are being used as proxies for US foreign policy purposes. Furthermore, this study has discussed the various implications the private security industry has on the traditional notion of the state’s monopoly on the legitimate use of force. This thesis has argued that the legitimate use to exercise violence is in the process of devolution from governments to other actors, which the extensive growth of the private security industry illustrates. Additionally, it has been argued that the privatisation of military and security services can harm the reliable delivery of essential services in conflict. Furthermore, the findings of this thesis has highlighted the dilemma that many countries do not want stricter regulation or elimination of the private security industry for the reason that these companies are viewed as valuable assets in fulfilling foreign policy objectives that for various reasons cannot be fulfilled by national armies.
AFRIKAANSE OPSOMMING: Die opkoms en vinnige groei van die privaatsekuriteitsbedryf in die 1990s was die gevolg van die afskaling van gewapende magte in die nasleep van die Koue Oorlog en die ontwikkeling van nuwe sekuriteitsbedreigings, wat die aanvraag na militêre arbeidskragte en kundigheid verhoog het. Dit het aanleiding gegee tot ’n herdefiniëring van sekuriteitstrategieë en die herstrukturering van gewapende magte deur Westerse regerings, met die gevolg dat niekernaktiwiteite van die funksies van talle gewapende magte uitgesluit is. Daar is onlangs aangevoer dat die privaatsekuriteitsbedryf aanspraak kan maak op ’n funksie wat voorheen as die primêre verantwoordelikheid van regerings beskou is, naamlik om vredesinisiatiewe en steun aan ander vredesverrigtinge te onderneem. Die doel van hierdie studie was om die impak van die privaatsekuriteitsbedryf in vredesinisiatiewe in Afrika-konflikte te assesseer. Daar word aan die hand gedoen dat die privaatsekuriteitsbedryf sedert die 1990’s ’n baie groter rol in wêreldwye konflikte gespeel het, en dat die aktiwiteite van hierdie bedryf aanmerklik verander het. Maatskappye soos MPRI en DynCorp was suksesvol daarin om nabye kontak met hul tuisregerings te behou, wat stellig ’n deurslaggewende faktor in hul groeiende besighede was. Voorts het die privaatsekuriteitsbedryf gepoog om hom te distansieer van die negatiewe konnotasies wat met huursoldate en die aktiwiteite van maatskappye soos Executive Outcomes in die 1990’s geassosieer is deur bedrywighede wat elemente van direkte stryd inhou, te vermy. Hierdie poging is geïllustreer deur die omvattende gevallestudie van die aktiwiteite van drie privaat militêre en sekuriteitsmaatskappye: EO, MPRI en DynCorp. Die bevindinge van die studie bevestig voorts die Verenigde State van Amerika (VSA) se toenemende teenwoordigheid op die Afrika-vasteland ná 9/11, wat duidelik blyk uit die teenwoordigheid van Amerikaansgebaseerde privaat militêre en sekuriteitsmaatskappye wat stellig as volmag gebruik word vir die VSA se buitelandsebeleidsdoelstellings. Die verskeie implikasies van die privaatsekuriteitsbedryf vir die tradisionele siening van die regerings se monopolie ten opsigte van die wettige gebruik van magte word ook in die studie bespreek. Daar word aangevoer dat die wettige gebruik van geweld in die proses van devolusie is vanaf regerings na ander rolspelers, wat deur die omvattende groei van die privaatsekuriteitsbedryf bevestig word. Daar word verder ook beweer dat die privatisering van militêre en sekuriteitsdienste die betroubare lewering van noodsaaklike dienste tydens konflik kan benadeel. Die studie se bevindinge werp ook lig op die dilemma dat talle lande strenger regulering of uitskakeling van die privaatsekuriteitsbedryf teëstaan omdat hierdie maatskappye beskou word as waardevolle bates in die bereiking van buitelandsebeleidsdoelwitte, wat vir verskeie redes nie deur nasionale leërs bereik kan word nie.
Linhares, Mayklyns Marcos de Almeida. "Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/5956.
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This study aimed to evaluate the performance of an Unmanned Aerial Vehicle (UAV) used to analysis of cultivated pasture areas. This evaluation was based on the comparison between the products of Vegetation Index calculated by orthomosaics from photos acquired by a UAV and the Percentage of Green collected in the ground level. The UAV Vegetation Index was the Modified Photochemical Reflectance Index (MPRI). It was held also a comparison between the Vegetation Indexes obtained with the UAV and an orbital platform being these the MPRI and the Normalized Difference Vegetation Index (NDVI) respectively. The data were collected monthly between July and December 2014. For comparison between the Percentage of Green and the MPRI was used 25 samples distributed along of transect established in ground level into the pasture area. For comparison between MPRI and NDVI other 15 samples were distributed along of the pasture area. The Percentage of Green relied on vertical photos acquired in the ground level. The MPRI resulted from aerial surveys done by UAV’s model “TIRIBA” that used the Canon PowerShot S100 camera coupled. The orthomosaics from aerial photos acquired on aerial surveys were generated in the Agisoft PhotoScan to calculate the MPRI after. The NDVI was calculated from surface reflectance images acquired by Landsat-8 satellite. Has been observed that Percentage of Green and MPRI are correlated and the same to be observed for MPRI and NDVI. There is also relationship in behavior of these products over time so was possible to conclude that both products could provide the necessary information for the characterization of the development of pasture between July and December 2014. Both products – Percentage of Green, MPRI and NDVI – feature advantages and limitations: the Percentage of Green is most sensitive for the changes into the pasture because of their detail high level (spatial resolution) but doesn’t have the income that the MPRI/UAV has and not provide the analysis of the whole area being necessary use to sampling; the MPRI/UAV has a higher sensitivity to record of the behavior of pasture when compared to NDVI/Landsat-8 bus the gain in the area imaged by orbital platform should not be disregarded. The correlation between Percentage of Green and MPRI and between MPRI and NDVI also suggests that these products can be used in conjunction to perform the monitoring of pasture areas.
Esta pesquisa teve por objetivo avaliar o desempenho de um Veículo Aéreo Não Tripulado (VANT) quando destinado à análise de áreas com pastagem cultivada. Tal avaliação teve por base a comparação entre o produto de Índice de Vegetação, calculado por intermédio de ortomosaicos de fotografias adquiridas por um VANT, e o parâmetro de Percentual de Verde coletado em solo. O Índice de Vegetação calculado com os dados do VANT foi o Modified Photochemical Reflectance Index (MPRI). Foi realizada também uma comparação entre os Índices de Vegetação obtidos com o VANT e por plataforma orbital, sendo esses índices o MPRI e o Normalized Difference Vegetation Index (NDVI), respectivamente. A coleta de dados foi realizada mensalmente entre julho e dezembro de 2014. Para a comparação entre o Percentual de Verde e o MPRI foram utilizadas 25 amostras distribuídas ao longo de um transecto estabelecido em solo. Para a comparação entre o MPRI e o NDVI foram utilizadas outras 15 amostras, distribuídas ao longo da área da pastagem. O Percentual de Verde se baseou em fotografias verticais obtidas em nível de solo. Já o MPRI resultou de aerolevantamentos com um VANT modelo TIRIBA, embarcado com uma câmera Canon PowerShot S100. Os ortomosaicos que serviram de base para o cálculo do MPRI foram gerados no programa Agisoft PhotoScan. O NDVI foi calculado com base em imagens de reflectância da superfície adquiridas pelo satélite Landsat-8. Como resultados observou-se que há correlação entre o Percentual de Verde e o MPRI, bem como entre o MPRI e o NDVI. Há também relação no comportamento desses produtos ao longo do tempo, de forma que foi possível concluir que ambos poderiam subsidiar as informações necessárias para a caracterização do desenvolvimento da pastagem em questão entre julho e dezembro de 2014. Concluiu-se ainda que ambos os produtos apresentam vantagens e limitações: o Percentual de Verde, em virtude de seu detalhamento (resolução espacial), é o mais sensível as alterações na pastagem, mas não tem o rendimento que o MPRI/VANT agrega por viabilizar a análise da área no todo, o que dispensa amostragem; o MPRI/VANT tem maior sensibilidade se comparado ao NDVI/Landsat-8 no registro do comportamento da pastagem, mas o ganho em área imageada pelo satélite não deve ser desconsiderado. A correlação entre o Percentual de Verde e o MPRI e entre o MPRI e o NDVI sugere também que esses produtos possam ser utilizados em conjunto no monitoramento de áreas de pastagens.
Книги з теми "MpMRI"
Michigan. Office of the Auditor General. Audit report: Performance audit of the Michigan Prisoner Reentry Initiative (MPRI), Department of Corrections. Lansing, Mich: Michigan Office of the Auditor General, 2012.
Знайти повний текст джерелаThe Secret Intelligence Economy. Burkley Research Press, 2011.
Знайти повний текст джерелаЧастини книг з теми "MpMRI"
Fascelli, Michele, Amichai Kilchevsky, Arvin K. George, and Peter A. Pinto. "Multiparametric MRI (mpMRI): Guided Focal Therapy." In The Prostate Cancer Dilemma, 187–200. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21485-6_13.
Повний текст джерелаMuftah, Asmail, S. M. Shermer, and Frank C. Langbein. "Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in MpMRI." In Lecture Notes in Computer Science, 118–31. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67285-9_9.
Повний текст джерелаMaurya, Satyajit, Virendra Kumar Yadav, Sumeet Agarwal, and Anup Singh. "Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 312–23. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09002-8_28.
Повний текст джерелаSobecki, Piotr, Rafał Jóźwiak, and Ihor Mykhalevych. "Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study." In Digital Interaction and Machine Intelligence, 85–92. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_9.
Повний текст джерелаCacciamani, Giovanni E., Andre L. De Castro Abreu, Andrew Chen, Mihir Saha, Ugo Falagario, Eduardo B. Zukovksi, and Riccardo Autorino. "Use of Multiparametrric Magnetic Resonance Imaging (mpMRI) for Prostate Cancer: A Journey from 1.5 to 10 Tesla." In Anatomy for Urologic Surgeons in the Digital Era, 99–108. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59479-4_8.
Повний текст джерелаWeikel, W., T. Beck, H. Rosenthal, and H. J. Grill. "Immunhistochemische Progesteronrezeptorbestimmung (mPRI) beim Mammacarcinom." In Gynäkologie und Geburtshilfe 1988, 700–701. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74784-7_363.
Повний текст джерелаGavade, Anil B., Rajendra B. Nerli, Pushkar Bansidhar Patil, Richa Ravi Siddannavar, Venkata Siva Prasad Bhagavatula, and Priyanka A. Gavade. "Prostate cancer segmentation of peripheral zone and central gland regions in mpMRI: comparative analysis with deep neural network U-Net and its advanced models." In Image Processing with Python, 7–1. IOP Publishing, 2024. http://dx.doi.org/10.1088/978-0-7503-5924-5ch7.
Повний текст джерелаSubburaman, Dhivya, Jagan J., Yıldırım Dalkiliç, and Pijush Samui. "Reliability Analysis of Slope Using MPMR, GRNN and GPR." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 208–24. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8823-0.ch007.
Повний текст джерелаSubburaman, Dhivya, Jagan J., Yıldırım Dalkiliç, and Pijush Samui. "Reliability Analysis of Slope Using MPMR, GRNN and GPR." In Civil and Environmental Engineering, 712–26. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9619-8.ch030.
Повний текст джерелаJayabalan, Jagan, Sanjiban Sekhar Roy, Pijush Samui, and Pradeep Kurup. "Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass." In Advances in Civil and Industrial Engineering, 1–30. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2709-1.ch001.
Повний текст джерелаТези доповідей конференцій з теми "MpMRI"
Satish, Pranav, Alex Freeman, Daniel Kelly, Alex Kirkham, Clement Orczyk, Benjamin Simpson, Francesco Giganti, Hayley Whitaker, Mark Emberton, and Joseph Norris. "Prostate cancer topography and tumour conspicuity on multiparametric magnetic resonance imaging: A systematic review and meta-analysis." In VIRTUAL ACADEMIC SURGERY CONFERENCE 2021. Cambridge Medicine Journal, 2021. http://dx.doi.org/10.7244/cmj.2021.04.001.2.
Повний текст джерелаShukla, Tushar Dhar, K. Kalpana., Richa Gupta, D. Kalpanadevi, Md Abul Ala Walid, and K. Keshav Kumar. "A Novel Machine Learning Algorithm for Prostate Cancer Image Segmentation using mpMRI." In 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS). IEEE, 2023. http://dx.doi.org/10.1109/icscss57650.2023.10169504.
Повний текст джерелаPalmeri, Mark, Tyler Glass, Rajan Gupta, Matt McCormick, Alison Brown, Thomas Polascik, Stephen Rosenzweig, Andrew Buck, and Kathy Nightingale. "Comparison between 3D ARFI imaging and mpMRI in detecting clinically-significant prostate cancer lesions." In 2016 IEEE International Ultrasonics Symposium (IUS). IEEE, 2016. http://dx.doi.org/10.1109/ultsym.2016.7728618.
Повний текст джерелаChen, Quan, Xiang Xu, Shiliang Hu, Xiao Li, Qing Zou, and Yunpeng Li. "A transfer learning approach for classification of clinical significant prostate cancers from mpMRI scans." In SPIE Medical Imaging, edited by Samuel G. Armato and Nicholas A. Petrick. SPIE, 2017. http://dx.doi.org/10.1117/12.2279021.
Повний текст джерелаKwak, Sunwoo, Akbari Hamed, Jose A. Garcia, Suyash Mohan, and Christos Davatzikos. "Fully automatic mpMRI analysis using deep learning predicts peritumoral glioblastoma infiltration and subsequent recurrence." In Image Processing, edited by Olivier Colliot and Jhimli Mitra. SPIE, 2024. http://dx.doi.org/10.1117/12.3001752.
Повний текст джерелаPearlson, Joshua, and Franklin King. "Mapping clinically significant lesions from mpMRI using convolution neural network: feasibility assessment in MRI-guided biopsy cases." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Cristian A. Linte and Jeffrey H. Siewerdsen. SPIE, 2021. http://dx.doi.org/10.1117/12.2582228.
Повний текст джерелаPrive, B., B. Israël, M. Janssen, P. Zámecnik, M. Van der Leest, W. van Gemert, M. Gotthardt, et al. "MpMRI and [18F]PSMA-1007 PET to detect local prostate cancer: a prospective comparative study with correlation to histopathology." In 61. Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin. Georg Thieme Verlag, 2023. http://dx.doi.org/10.1055/s-0043-1766143.
Повний текст джерелаZong, Weiwei, Eric N. Carver, Aharon Feldman, Nallasivam Palanisamy, and Ning Wen. "Abstract 5302: Molecular subtype stratification for prostate cancer from mpMRI and histopathology images using convolutional neural networks and transfer learning." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-5302.
Повний текст джерелаKarzai, Fatima, Anna Couvillon, Yolanda McKinney, Katherine Lee-Wisdom, Peter L. Choyke, Veda N. Giri, Todd M. Morgan, et al. "Abstract 2605: A natural history study of men with high-risk genetics for prostate cancer (PCa) using multiparametric MRI (mpMRI)." In Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-2605.
Повний текст джерелаMiksch, J., C. Solbach, M. Beer, T. Wiegel, C. Bolenz, F. Zengerling, A. J. Beer, and W. Thaiss. "Head-to-head comparison of mpMRI and PET imaging using [F-18]siPSMA-14 in primary staging of prostate cancer patients." In RÖKO 2023. Georg Thieme Verlag, 2023. http://dx.doi.org/10.1055/s-0043-1763109.
Повний текст джерелаЗвіти організацій з теми "MpMRI"
Thomas Austin, Evan, Paul Kang, Chinedu Mmeje, Joseph Mashni, Mark Brenner, Phillip Koo, and John C Chang. Validation of PI-RADS v2 Scores at Various Non-University Radiology Practices. Science Repository, December 2021. http://dx.doi.org/10.31487/j.aco.2021.02.02.
Повний текст джерелаSpecht, Paul Elliott, Marcia A. Cooper, and Brook Anton Jilek. Development of a Multi-Point Microwave Interferometry (MPMI) Method. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1221575.
Повний текст джерелаMultiparametric magnetic resonance imaging (mpMRI) of the prostate gland. BJUI Knowledge, March 2016. http://dx.doi.org/10.18591/bjuik.0159.
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