Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images
Abstract Recurrence risk stratification of patients undergoing primary surgical resection for hepatocellular carcinoma (HCC) is an area of active investigation, and several staging systems have been proposed to optimize treatment strategies. However, as many as 70% of patients still experience tumor...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/28c1b7e83175401e8131ebcd53e2459a |
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