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Diverse Data Augmentation for Learning Image Segmentation with Cross-Modality Annotations
The dearth of annotated data is a major hurdle in building reliable image segmentation models. Manual annotation of medical images is tedious, time-consuming, and significantly variable across imaging modalities. The need for annotation can be ameliorated by leveraging an annotation-rich source moda...
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| Udgivet i: | Med Image Anal |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8184609/ https://ncbi.nlm.nih.gov/pubmed/33957558 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2021.102060 |
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