Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden
IntroductionState-of-the-art multi-modal brain tumor segmentation methods often rely on large quantities of manually annotated data to produce acceptable results. In settings where such labeled data may be scarce, there may be value in exploiting cheaper or more readily available data through clinic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-06-01
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| Series: | Frontiers in Computer Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2024.1386514/full |