Bias reduction in representation of histopathology images using deep feature selection

Abstract Appearing traces of bias in deep networks is a serious reliability issue which can play a significant role in ethics and generalization related concerns. Recent studies report that the deep features extracted from the histopathology images of The Cancer Genome Atlas (TCGA), the largest publ...

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Bibliographic Details
Main Authors: Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Ali Grami, H.R. Tizhoosh
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-24317-z