Multi-class blob and CC losses via one-vs-rest decomposition and per-component weighting improve foreground Dice, rare-class Dice, and Panoptic Quality on BraTS-METS 2025 compared to baseline.
arXiv preprint arXiv:2504.12527 (2025)
3 Pith papers cite this work. Polarity classification is still indexing.
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Multi-class blob and CC losses via one-vs-rest decomposition and per-component weighting improve foreground Dice, rare-class Dice, and Panoptic Quality on BraTS-METS 2025 compared to baseline.
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Contrast-X: A Multi-Modal Contrast Image Synthesis Benchmark and Universal Modality Flow Matching
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