Littérature scientifique sur le sujet « Computer aided diagnosis tools »
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Articles de revues sur le sujet "Computer aided diagnosis tools"
Mun, Seong K., et Dow-Mu Koh. « Special Issue : “Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging” ». Diagnostics 12, no 6 (27 mai 2022) : 1331. http://dx.doi.org/10.3390/diagnostics12061331.
Texte intégralIoanovici, Andrei-Constantin, Andrei-Marian Feier, Ioan Țilea et Daniela Dobru. « Computer-Aided Diagnosis in Colorectal Cancer : Current Concepts and Future Prospects ». Journal of Interdisciplinary Medicine 2, no 3 (1 septembre 2017) : 245–49. http://dx.doi.org/10.1515/jim-2017-0057.
Texte intégralMolino, F., D. Furia, F. Bar, S. Battista, N. Cappello et G. Molino. « Computer-Aided Diagnosis in Jaundice : Comparison of Knowledge-based and Probabilistic Approaches ». Methods of Information in Medicine 35, no 01 (janvier 1996) : 41–51. http://dx.doi.org/10.1055/s-0038-1634634.
Texte intégralBartolini, Ilaria, et Andrea Di Luzio. « CAT-CAD : A Computer-Aided Diagnosis Tool for Cataplexy ». Computers 10, no 4 (13 avril 2021) : 51. http://dx.doi.org/10.3390/computers10040051.
Texte intégralJiménez-Gaona, Yuliana, María José Rodríguez-Álvarez et Vasudevan Lakshminarayanan. « Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review ». Applied Sciences 10, no 22 (23 novembre 2020) : 8298. http://dx.doi.org/10.3390/app10228298.
Texte intégralLee, Juhun, Robert M. Nishikawa, Ingrid Reiser et John M. Boone. « Optimal reconstruction and quantitative image features for computer-aided diagnosis tools for breast CT ». Medical Physics 44, no 5 (13 avril 2017) : 1846–56. http://dx.doi.org/10.1002/mp.12214.
Texte intégralRibeiro, Ricardo T., Rui Tato Marinho et J. Miguel Sanches. « An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection ». IEEE Journal of Biomedical and Health Informatics 18, no 4 (juillet 2014) : 1397–403. http://dx.doi.org/10.1109/jbhi.2013.2284785.
Texte intégralG. P, Vishnu Prasad, Kurapati Vishnu Sai Reddy, A. M. Kiruthik et Dr J. Arun Nehru. « Prediction of Kidney Stones Using Machine Learning ». International Journal for Research in Applied Science and Engineering Technology 10, no 5 (31 mai 2022) : 1037–44. http://dx.doi.org/10.22214/ijraset.2022.42416.
Texte intégralSantos, Marcel Koenigkam, José Raniery Ferreira Júnior, Danilo Tadao Wada, Ariane Priscilla Magalhães Tenório, Marcello Henrique Nogueira Barbosa et Paulo Mazzoncini de Azevedo Marques. « Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics : advances in imaging towards to precision medicine ». Radiologia Brasileira 52, no 6 (décembre 2019) : 387–96. http://dx.doi.org/10.1590/0100-3984.2019.0049.
Texte intégralOwais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Jin Kyu Kang et Kang Ryoung Park. « Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database : Model Development and Validation ». Journal of Medical Internet Research 22, no 11 (26 novembre 2020) : e18563. http://dx.doi.org/10.2196/18563.
Texte intégralThèses sur le sujet "Computer aided diagnosis tools"
Hoh, See Min. « Condition monitoring and fault diagnosis for CNC machine tools ». Thesis, Cardiff University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295120.
Texte intégralCoxon, Andrew. « Computer aided analysis of paraspinal electromyography ». Thesis, Teesside University, 2013. http://hdl.handle.net/10149/301616.
Texte intégralLuther, Ilse. « Semen characteristics of free-ranging African elephants (Loxodonta africana) and Southern white rhinoceros (Ceratotherium simum simum) using Computer-aided sperm analysis, Electron microscopy and Genomics as diagnostic tools ». University of the Western Cape, 2016. http://hdl.handle.net/11394/5443.
Texte intégralThe survival of free-ranging (in situ) African elephant and Southern white rhinoceros populations are currently being challenged on a daily basis in Africa. Reproductive health is considered a vital component of species conservation. Conservation of the last mega land mammals may ultimately require intervention by breeding management or combined with assisted reproductive technologies (ART). There is a strong case for gathering baseline information, both physiological and biological, of any species, as opportunities arise. During this study a total number of 21 ejaculates collected over two seasons from 12 free-ranging African elephant bulls were characterised, as well as 10 ejaculates collected from 10 free-ranging Southern white rhinoceros bulls from two populations. Ejaculates were collected from adult bulls by means of electroejaculation under anaesthesia. Routine semen analysis was combined with Computer-aided sperm analysis (CASA), Computer-aided sperm morphology analysis (CASMA), Transmission electron microscopy (TEM) and Genomics as diagnostic tools. Additionally, sperm functionality within different media was investigated and sperm subpopulation classification according to the motion pattern displayed. The results presented is based on the evaluation and classification of ≈ 45 000 individual African elephant spermatozoa and ≈ 18 000 individual Southern white rhinoceros spermatozoa. The average elephant ejaculate contained a total number of 47 x 10⁹ spermatozoa (volume of 56 ± 38mL x concentration of 818 ± 750 x 10⁶/mL) that recorded a total motility of 81 ± 29% of which 62 ± 26% were progressively motile. CASA recorded velocities for curvilinear velocity (VCL 241 ± 58μm/s), straight-line velocity (VSL 173 ± 181μm/s) and average path velocity (VAP 201 ± 54μm/s), and kinematics at straightness of track (STR 86 ± 85%), linearity of track (LIN 67 ± 16%), amplitude of lateral head displacement (ALH 4 ± 0.75μm) and beat cross frequency (BCF 21 ± 3Hz). Structural analysis revealed 68 ± 11% of the spermatozoa were viable (intact plasma membrane) and 77 ± 11% maintained acrosome integrity. Ejaculates contained 55 ± 14% morphologically normal spermatozoa, CASMA measured sperm head lengths at 6.83 ± 0.26μm and width 3.32 ± 0.18μm (total head area of 20.17 ± 1.96μm²) of which 38.95 ± 0.92% is covered by an acrosomal cap. The average rhinoceros ejaculate contained a total number of 1.1 x 10⁹ spermatozoa (volume of 24 ± 24mL x concentration of 83 ± 96 x 10⁶/mL) that recorded a total motility at 82 ± 8% of which 28 ± 23% were progressively motile. CASA recorded velocities for VCL (85 ± 29μm/s), VSL (44 ± 25μm/s) and VAP (69 ± 30μm/s, and kinematics at STR (63 ± 14%), LIN (51 ± 16%), ALH (2 ± 0.16μm) and BCF (16 ± 6Hz). Structural analysis revealed 73 ± 10% of the spermatozoa were viable (intact plasma membrane) and 76 ± 4% maintained acrosome integrity. Ejaculates contained 62 ± 14% morphologically normal spermatozoa, CASMA measured sperm head lengths at 5.5 ± 0.17μm and width 2.9 ± 0.19μm (total head area of 14.8 ± 1.43μm²) of which 36.3 ± 0.59% is covered by an acrosomal cap. Based on a Boolean argument and CASA data exploration it was possible to derive elephant and rhinoceros CASA cut-off criteria to sort between activated and hyperactivated motile spermatozoa. For the genomic component of this study, the CatSper1 (Loxodonta africana) gene was identified,sequenced and verified in a free-ranging (natural) African elephant population. Multivariate analysis(MVA) was applied to examine the associations between the semen and sperm parameters and the traits they accounted for in this study. Our understanding of wildlife reproductive sciences can substantially progress as the analytical techniques applied and the combination thereof is expanded. This investigation presents a new set of comprehensive semen and sperm threshold values for future investigations.
Borelli, João Eduardo. « Diagnóstico do estado de desgaste de ferramentas para o monitoramento de condições de usinagem de alto desempenho ». Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-14112017-104229/.
Texte intégralDuring machining process the temperature knowledge is one of the most important factors in tool analysis. It allows to control main factors that influence tool use, life time and wear. The temperature in the contact area between the work piece and the tool is resulting from the material remova! in cutting operation and it is too difficult to be obtained because the tool, or the work piece is in motion. One way to measure the temperature in this situation is detecting the infrared radiation. This work presents a new methodology for diagnosis and monitoring of machining processes with the use of infrared images. The infrared image provides a map in gray tones of the elements temperature in the process: tool, work piece and chips. Each gray tone corresponds to a certain temperature for each one of those materials and the relationship between the gray tones and the temperature is goven by previous infrared camera calibration. The system developed in this work uses an infrared camera, a frame grabber board and a software composed by three modules. The first module provides the image acquisition and processing. The second one does the image feature extraction and calculates the feature vector. Finally, the third module uses fuzzy logic to evaluate the feature vector and to supply the tool state diagnostic as output.
Elter, Matthias. « Computer-aided diagnosis of breast cancer ». Tönning Lübeck Marburg Der Andere-Verl, 2010. http://d-nb.info/1001110773/04.
Texte intégralNakamura, Yoshihiko, Takayuki Kitasaka, Kensaku Mori et Yasuhito Suenaga. « COMPUTER AIDED DIAGNOSIS FOR ABDOMINAL SURGICAL PLANNING ». INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10470.
Texte intégralMalone, John Philip. « Computer-aided diagnosis of diffuse lung disease ». Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440143.
Texte intégralTembey, Mugdha. « Computer-Aided Diagnosis for Mammographic Microcalcification Clusters ». [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000168.
Texte intégralPUTZU, LORENZO. « Computer aided diagnosis algorithms for digital microscopy ». Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266877.
Texte intégralMori, Kensaku. « Advances in Computer Aided Diagnosis and Computer Assisted Surgery ». INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10452.
Texte intégralLivres sur le sujet "Computer aided diagnosis tools"
Elseid, Arwa Ahmed Gasm, et Alnazier Osman Mohammed Hamza. Computer-Aided Glaucoma Diagnosis System. First edition. | Boca Raton, FL : CRC Press, 2020. : CRC Press, 2020. http://dx.doi.org/10.1201/9780367406288.
Texte intégralK, Law K., dir. Computer-aided sculpture. Cambridge [England] : Cambridge University Press, 1989.
Trouver le texte intégralDas, Rik, Sudarshan Nandy et Siddhartha Bhattacharyya. Disruptive Trends in Computer Aided Diagnosis. New York : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003045816.
Texte intégralSu, Ruidan, et Han Liu, dir. Medical Imaging and Computer-Aided Diagnosis. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5199-4.
Texte intégralHastie, Trevor. Computer-aided diagnosis of mammographic masses. [Toronto] : University of Toronto, Dept. of Statistics, 1996.
Trouver le texte intégralLung imaging and computer aided diagnosis. Boca Raton, FL : CRC Press, 2012.
Trouver le texte intégralSu, Ruidan, Yudong Zhang, Han Liu et Alejandro F Frangi, dir. Medical Imaging and Computer-Aided Diagnosis. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-6775-6.
Texte intégralKrishnamoorthy, C. S. Computer aided design : Software and analytical tools. New Delhi : Narosa Pub. House, 1991.
Trouver le texte intégralKrishnamoorthy, C. S. Computer aided design : Software and analytical tools. Berlin : Springer-Verlag, 1992.
Trouver le texte intégralComputer aided design : Software and analytical tools. 2e éd. Great Britain : Alpha Science Intl Ltd, 2005.
Trouver le texte intégralChapitres de livres sur le sujet "Computer aided diagnosis tools"
Katis, Andreas, Anastasia Mavridou, Dimitra Giannakopoulou, Thomas Pressburger et Johann Schumann. « Capture, Analyze, Diagnose : Realizability Checking Of Requirements in FRET ». Dans Computer Aided Verification, 490–504. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_24.
Texte intégralMori, Kazuo. « Case Example 6 : In-process diagnosis of tool failures in milling ». Dans Computer-aided Maintenance, 356–78. Boston, MA : Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5305-2_17.
Texte intégralGernert, Regine, et Peter John. « Design of Competence Promoting Multi-Agent-Systems to Support the User in Fault Diagnosis of CNC-Machine Tools ». Dans Computer Aided Systems Theory - EUROCAST’99, 201–8. Berlin, Heidelberg : Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720123_17.
Texte intégralKvak, Daniel, Eva Březinová, Marek Biroš et Robert Hrubý. « Synthetic Data as a Tool to Combat Racial Bias in Medical AI : Utilizing Generative Models for Optimizing Early Detection of Melanoma in Fitzpatrick Skin Types IV–VI ». Dans Medical Imaging and Computer-Aided Diagnosis, 317–30. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-6775-6_26.
Texte intégralSingh, Vedpal, Irraivan Elamvazuthi, Varun Jeoti, John George, Norashikin Yahya et Dileep Kumar. « Ultrasound Based Three Dimensional Computer Aided Diagnosis (CAD) Tool for the Diagnosis of Anterior Talofibular Ligament ». Dans Medical Imaging in Clinical Applications, 213–35. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33793-7_10.
Texte intégralHeinonen, T., T. Arola, A. Kalliokoski, P. Dastidar, M. Rossi, S. Soimakallio, J. Hyttinen et H. Eskola. « Computer Aided Diagnosis Tool for the Segmentation and Texture Analysis of Medical Images ». Dans IFMBE Proceedings, 274–76. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03879-2_77.
Texte intégralBanerjee, Neha, Rachana Sathish et Debdoot Sheet. « Deep Neural Architecture for Localization and Tracking of Surgical Tools in Cataract Surgery ». Dans Computer Aided Intervention and Diagnostics in Clinical and Medical Images, 31–38. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04061-1_4.
Texte intégralPirovano, Antoine, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal et Isabelle Bloch. « Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations ». Dans Interpretable and Annotation-Efficient Learning for Medical Image Computing, 43–53. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61166-8_5.
Texte intégralPancerz, Krzysztof, Olga Mich, Andrzej Burda et Jerzy Gomuła. « A Tool for Computer-Aided Diagnosis of Psychological Disorders Based on the MMPI Test : An Overview ». Dans Studies in Computational Intelligence, 201–13. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19147-8_12.
Texte intégralBricault, Ivan, Ron Kikinis, Eric van Sonnenberg, Kemal Tuncali et Stuart G. Silverman. « 3D Analysis of Radiofrequency-Ablated Tumors in Liver : A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences ». Dans Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 1042–43. Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30136-3_129.
Texte intégralActes de conférences sur le sujet "Computer aided diagnosis tools"
Bento, Mariana P., Roberto M. Souza, Richard Frayne et Marina Salluzzi. « Reliability of computer-aided diagnosis tools with multi-center MR datasets : impact of training protocol ». Dans Computer-Aided Diagnosis, sous la direction de Horst K. Hahn et Kensaku Mori. SPIE, 2019. http://dx.doi.org/10.1117/12.2512819.
Texte intégralGuan, Shuyue, Ravi K. Samala, Arian Arab et Weijie Chen. « MISS-tool : medical image segmentation synthesis tool to emulate segmentation errors ». Dans Computer-Aided Diagnosis, sous la direction de Khan M. Iftekharuddin et Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653650.
Texte intégralVandewiele, Stijn, Jonas De Vylder, Bart Diricx, Edward Sandra et Tom Kimpe. « Open-source tool for model performance analysis for subpopulations ». Dans Computer-Aided Diagnosis, sous la direction de Khan M. Iftekharuddin et Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653453.
Texte intégralBurgon, Alexis, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Kenny Cha et Ravi K. Samala. « A tool for the assessment of AI generalizability via decision space composition ». Dans Computer-Aided Diagnosis, sous la direction de Susan M. Astley et Weijie Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3008580.
Texte intégralJahani, Nariman, Eric Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos et Despina Kontos. « Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer : results from the ACRIN 6657/I-SPY-1 trial ». Dans Computer-Aided Diagnosis, sous la direction de Kensaku Mori et Nicholas Petrick. SPIE, 2018. http://dx.doi.org/10.1117/12.2293720.
Texte intégralGadermayr, Michael, Hubert Kogler, Andreas Uhl et Andreas Vecsei. « Comparing endoscopic imaging configurations in computer-aided celiac disease diagnosis ». Dans 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367184.
Texte intégralLi, Lin, Qizhi Zhang, Yihua Ding, Huabei Jiang, Bruce T. Thiers et James Z. Wang. « A Computer-Aided Spectroscopic System for Early Diagnosis of Melanoma ». Dans 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2013. http://dx.doi.org/10.1109/ictai.2013.31.
Texte intégralGorriz, J. M., J. Ramirez, A. Lassl, D. Salas-Gonzalez, E. W. Lang, C. G. Puntonet, I. Alvarez, M. Lopez et M. Gomez-Rio. « Automatic computer aided diagnosis tool using component-based SVM ». Dans 2008 IEEE Nuclear Science Symposium and Medical Imaging conference (2008 NSS/MIC). IEEE, 2008. http://dx.doi.org/10.1109/nssmic.2008.4774255.
Texte intégralWang, Lulu, Ahmed Al-Jumaily et Andrew Kilding. « Computer-Aided Diagnostic Tool for Lung Diseases ». Dans ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50550.
Texte intégralZhao, Zheen, David K. Wallace, Sharon F. Freedman et Stephen R. Aylward. « A tool for computer-aided diagnosis of retinopathy of prematurity ». Dans Medical Imaging, sous la direction de Maryellen L. Giger et Nico Karssemeijer. SPIE, 2008. http://dx.doi.org/10.1117/12.769030.
Texte intégralRapports d'organisations sur le sujet "Computer aided diagnosis tools"
Floyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA : Defense Technical Information Center, octobre 1996. http://dx.doi.org/10.21236/ada325798.
Texte intégralFloyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA : Defense Technical Information Center, octobre 2000. http://dx.doi.org/10.21236/ada392958.
Texte intégralFloyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA : Defense Technical Information Center, octobre 1999. http://dx.doi.org/10.21236/ada383108.
Texte intégralJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA : Defense Technical Information Center, juin 2001. http://dx.doi.org/10.21236/ada396524.
Texte intégralJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA : Defense Technical Information Center, juin 2004. http://dx.doi.org/10.21236/ada431258.
Texte intégralJiang, Yulei. Computer-Aided Diagnosis of Breast Lesions. Fort Belvoir, VA : Defense Technical Information Center, juin 2002. http://dx.doi.org/10.21236/ada410986.
Texte intégralJiang, Yulei. Computer-Aided Diagnosis of Digital Mammograms. Fort Belvoir, VA : Defense Technical Information Center, juin 2003. http://dx.doi.org/10.21236/ada421590.
Texte intégralKupinski, Matthew A. Investigation of Genetic Algorithms for Computer-Aided Diagnosis. Fort Belvoir, VA : Defense Technical Information Center, octobre 2000. http://dx.doi.org/10.21236/ada393995.
Texte intégralChan, Heang P. Digital Mammography : Advanced Computer-Aided Breast Cancer Diagnosis. Fort Belvoir, VA : Defense Technical Information Center, mai 2003. http://dx.doi.org/10.21236/ada420159.
Texte intégralKupinski, Matthew A. Investigation of Genetic Algorithms for Computer-Aided Diagnosis. Fort Belvoir, VA : Defense Technical Information Center, octobre 1999. http://dx.doi.org/10.21236/ada391457.
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