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Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy.

, , , , , , , , , , , , , , , and . CLIP@MICCAI, volume 8680 of Lecture Notes in Computer Science, page 142-150. Springer, (2014)

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Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging., , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (11): 1687-1696 (2018)Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images., and . ICCV (Workshops), page 2485-2494. IEEE, (2023)Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks., , , , , , , , , and 4 other author(s). MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 70-77. Springer, (2015)IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification., , , , , and . ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 543-555. Springer, (2022)Micro and Macro Breast Histology Image Analysis by Partial Network Re-use., , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 895-902. Springer, (2018)Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy., , , , , , , , , and 6 other author(s). CLIP@MICCAI, volume 8680 of Lecture Notes in Computer Science, page 142-150. Springer, (2014)Domain Generalization in Computational Pathology: Survey and Guidelines., , , , , , , , , and 1 other author(s). CoRR, (2023)Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy., , , , , , , , , and 1 other author(s). MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 21-29. Springer, (2018)CAMP: Continuous and Adaptive Learning Model in Pathology., , , , , and . CoRR, (2024)QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View., , and . BONBID-HIE@MICCAI, volume 14567 of Lecture Notes in Computer Science, page 82-93. Springer, (2023)