Article

Bias Reduction in Representation of Histopathology Images Using Deep Feature Selection

2022-08-05

Abstract excerpt

Appearing traces of bias in deep networks is a serious issue that can play a significant role in ethics and generalization. Recent studies report that the deep features extracted from the histopathology images of The Cancer Genome Atlas (TCGA), the largest publicly available archive of 11,000 patients covering 25 organs and 32 cancer subtypes, are surprisingly able to accurately classify the whole slide images (WS...

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Literature Corpus work: 10ae195a-da76-587d-a191-96e186d4aa37
DOI: 10.21203/rs.3.rs-1882716/v1

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