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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2020
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| Materias: | |
| 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 |