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Deep learning in histopathology: A review
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Machine Learning Methods for Histopathological Image Analysis
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Weakly supervised histopathology cancer image segmentation and classification
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Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation
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Constrained Deep Weak Supervision for Histopathology Image Segmentation
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Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology
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A Texture Based Pattern Recognition Approach to Distinguish Melanoma from Non-Melanoma Cells in Histopathological Tissue Microarray Sections
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