Demographic bias in misdiagnosis by computational pathology models-Reference-Cited by-同舟云学术

Demographic bias in misdiagnosis by computational pathology models

Published:2024-04 Issue:4 Volume:30 Page:1174-1190
ISSN:1078-8956
Container-title:Nature Medicine
language:en
Short-container-title:Nat Med

Author:

Vaidya Anurag,Chen Richard J.^ORCID,Williamson Drew F. K.^ORCID,Song Andrew H.,Jaume Guillaume,Yang Yuzhe^ORCID,Hartvigsen Thomas,Dyer Emma C.,Lu Ming Y.^ORCID,Lipkova Jana,Shaban Muhammad,Chen Tiffany Y.^ORCID,Mahmood Faisal^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41591-024-02885-z.pdf

Reference181 articles.

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4. Lu, M. Y. et al. Data-efficient and weakly supervised computational pathology on whole-slide images. Nat. Biomed. Eng. 5, 555–570 (2021).

5. Skrede, O.-J. et al. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study. Lancet 395, 350–360 (2020).

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