Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer
Colonoscopy is the most commonly used tool to screen for colorectal cancer (CRC). Here, the authors develop a deep learning model to perform optical diagnosis of CRC by training on a large data set of white-light colonoscopy images and achieve endoscopist-level performance on three independent datas...
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2020
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/5c46ece027b64112af1315b6221f8c2b |
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