Aggregation of cohorts for histopathological diagnosis with deep morphological analysis
Abstract There have been substantial efforts in using deep learning (DL) to diagnose cancer from digital images of pathology slides. Existing algorithms typically operate by training deep neural networks either specialized in specific cohorts or an aggregate of all cohorts when there are only a few...
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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/cc3a6ff7b5f74169a3a27530a75eb747 |
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