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Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality.

, , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 105-113. Springer, (2015)

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Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model., and . IPMI, volume 4584 of Lecture Notes in Computer Science, page 245-256. Springer, (2007)Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning., , and . CoRR, (2021)Automatic segmentation of prostate zones., , and . CoRR, (2018)Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality., , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 105-113. Springer, (2015)Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications., , , , and . Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 4-14. Springer, (2010)Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI., , , , and . IEEE Trans. Medical Imaging, 40 (3): 986-995 (2021)3D Cardiac Segmentation Using Temporal Correlation of Radio Frequency Ultrasound Data., , , , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 927-934. Springer, (2009)Classification of breast lesions in automated 3D breast ultrasound., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79630X. SPIE, (2011)Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials., , , and . WBIR, volume 2717 of Lecture Notes in Computer Science, page 311-320. Springer, (2003)MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters., , , , , , , , , and 2 other author(s). Medical Image Anal., 18 (4): 674-683 (2014)