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Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.

, , and . IEEE Trans. Med. Imaging, 36 (11): 2355-2365 (2017)

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Virtual Microscopy with Extended Depth of Field., , and . DICTA, page 35. IEEE Computer Society, (2005)An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells., , and . IEEE Trans. Image Processing, 24 (4): 1261-1272 (2015)Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI., , , , and . ISBI, page 1057-1060. IEEE, (2019)Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms., , and . ISBI, page 760-763. IEEE, (2015)Estimation Of Epipolar Geometry Via The Radon Transform., , and . ICASSP (2), page 497-500. IEEE, (2006)A deep learning approach for the analysis of masses in mammograms with minimal user intervention., , and . Medical Image Analysis, (2017)Rule Extraction from Support Vector Machines: A Sequential Covering Approach., and . IEEE Trans. Knowl. Data Eng., 19 (6): 729-741 (2007)Producing radiologist-quality reports for interpretable artificial intelligence., , , , and . CoRR, (2018)On the Estimation of Extrinsic and Intrinsic Parameters of Optical Microscope Calibration., , and . DICTA, page 190-195. IEEE Computer Society, (2010)Automatic Segmentation of Enhancing Breast Tissue in Dynamic Contrast-Enhanced MR Images., , , , and . DICTA, page 124-129. IEEE Computer Society, (2007)