Bias reduction in representation of histopathology images using deep feature selection

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 publicly avai...

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Detalles Bibliográficos
Autores principales: Asilian Bidgoli, Azam, Rahnamayan, Shahryar, Dehkharghanian, Taher, Grami, Ali, Tizhoosh, H.R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678861/
https://www.ncbi.nlm.nih.gov/pubmed/36411301
http://dx.doi.org/10.1038/s41598-022-24317-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678861/
https://www.ncbi.nlm.nih.gov/pubmed/36411301
http://dx.doi.org/10.1038/s41598-022-24317-z

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