Article

Image-based patch selection for deep learning to improve automated Gleason grading in histopathological slides

2020-09-26

Abstract excerpt

Automated Gleason grading can be a valuable tool for physicians when assessing risk and planning treatment for prostate cancer patients. Semantic segmentation provides pixel-wise Gleason predictions across an entire slide, which can be more informative than classification of pre-selected homogeneous regions. Deep learning methods can automatically learn visual semantics to accomplish this task, but training models...

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Literature Corpus work: d991bfaf-2906-54d8-bf67-bf26dc5de677
DOI: 10.1101/2020.09.26.314989

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