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News/Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation
arxiv
PublishedMay 22, 2026 at 4:00 AM
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Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation

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arXiv:2605.20405v1 Announce Type: cross Abstract: Class imbalance is a fundamental challenge in medical image segmentation, where frequent classes typically dominate training at the expense of rare classes. Loss-based approaches mitigate imbalance by reweighting the per-pixel loss within the batch,

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