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Segmentation of Prostate in Diffusion MR Images via Clustering.

, , , , and . ICIAR, volume 10317 of Lecture Notes in Computer Science, page 471-478. Springer, (2017)

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A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account., , and . Frontiers Artif. Intell., (2021)A task-based approach to parametric imaging with dynamic contrast enhanced MRI., , and . ISBI, page 746-749. IEEE, (2011)Supervised prostate cancer segmentation with multispectral MRI incorporating location information., , and . ISBI, page 1496-1499. IEEE, (2011)Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning., , , , , and . CoRR, (2019)Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines., , , , , , , and . ISBI, page 73-76. IEEE, (2009)Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer., , and . ISBI, page 966-969. IEEE, (2013)Prostate Cancer Segmentation Using Multispectral Random Walks., , and . Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 15-24. Springer, (2010)Automated prostate cancer localization with MRI without the need of manually extracted peripheral zone., , and . ISBI, page 2099-2102. IEEE, (2011)Shape-Based Registration of Kidneys Across Differently Contrasted CT Scans., , and . CRV, page 244-251. IEEE Computer Society, (2012)Prostate Cancer Detection using Deep Convolutional Neural Networks., , , and . CoRR, (2019)