Improving model fairness in image-based computer-aided diagnosis

Deep learning has become a popular tool for computer-aided diagnosis using medical images, sometimes matching or exceeding the performance of clinicians. However, these models can also reflect and amplify human bias, potentially resulting inaccurate missed diagnoses. Despite this concern, the proble...

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Detalles Bibliográficos
Autores principales: Lin, Mingquan, Li, Tianhao, Yang, Yifan, Holste, Gregory, Ding, Ying, Van Tassel, Sarah H., Kovacs, Kyle, Shih, George, Wang, Zhangyang, Lu, Zhiyong, Wang, Fei, Peng, Yifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558498/
https://www.ncbi.nlm.nih.gov/pubmed/37803009
http://dx.doi.org/10.1038/s41467-023-41974-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558498/
https://www.ncbi.nlm.nih.gov/pubmed/37803009
http://dx.doi.org/10.1038/s41467-023-41974-4

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