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Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks.

, , , , , and . Pattern Recognit., (2018)

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Pupil diameter changes reflect difficulty and diagnostic accuracy during medical image interpretation., , , , , and . BMC Medical Informatics Decis. Mak., (2016)Learning to Segment Breast Biopsy Whole Slide Images., , , , , and . CoRR, (2017)Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers., , , , and . J. Digital Imaging, 31 (1): 32-41 (2018)Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images., , , and . J. Biomed. Informatics, (2017)Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images., , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 893-901. Springer, (2018)Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images., , , , , and . IEEE Trans. Med. Imaging, 37 (1): 316-325 (2018)Deep Feature Representations for Variable-Sized Regions of Interest in Breast Histopathology., , , , , , and . IEEE J. Biomed. Health Informatics, 25 (6): 2041-2049 (2021)A new tool for quantifying and characterizing asymmetry in bilaterally paired structures., , , , and . EMBC, page 2364-2367. IEEE, (2013)Efficient and Accurate Mitosis Detection - A Lightweight RCNN Approach., , , , and . ICPRAM, page 69-77. SciTePress, (2018)Automated Diagnosis of Breast Cancer and Pre-invasive Lesions on Digital Whole Slide Images., , , , , and . ICPRAM, page 60-68. SciTePress, (2018)