Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

Artificial intelligence (AI) systems for computer-aided diagnosis and image-based screening are being adopted worldwide by medical institutions. In such a context, generating fair and unbiased classifiers becomes of paramount importance. The research community of medical image computing is making gr...

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Detalles Bibliográficos
Autores principales: Larrazabal, Agostina J., Nieto, Nicolás, Peterson, Victoria, Milone, Diego H., Ferrante, Enzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293650/
https://www.ncbi.nlm.nih.gov/pubmed/32457147
http://dx.doi.org/10.1073/pnas.1919012117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293650/
https://www.ncbi.nlm.nih.gov/pubmed/32457147
http://dx.doi.org/10.1073/pnas.1919012117

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