Machine learning for medical imaging: methodological failures and recommendations for the future
Abstract Research in computer analysis of medical images bears many promises to improve patients’ health. However, a number of systematic challenges are slowing down the progress of the field, from limitations of the data, such as biases, to research incentives, such as optimizing for publication. I...
Main Authors: | Gaël Varoquaux, Veronika Cheplygina |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-04-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-022-00592-y |
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