A Hybrid Robust-Learning Architecture for Medical Image Segmentation with Noisy Labels
Deep-learning models require large amounts of accurately labeled data. However, for medical image segmentation, high-quality labels rely on expert experience, and less-experienced operators provide noisy labels. How one might mitigate the negative effects caused by noisy labels for 3D medical image...
| Auteurs principaux: | , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
MDPI AG
2022-01-01
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| Collection: | Future Internet |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1999-5903/14/2/41 |