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OrganSegBench: A Comprehensive Multi-Organ Benchmark for Segmentation Foundation Models with a Practical Synergy Pathway to Clinical Application

2025-10-21

Abstract excerpt

<title>Abstract</title> <p>Segmentation Foundation Models (SFMs), despite their success in general computer vision, remain suboptimal for medical imaging, where clinical requirements like fairness and robustness are paramount. Existing benchmarks fail to address these needs and often rely on datasets with potential training data leakage. To bridge this gap, we introduce “OrganSegBench”, a comprehensive benchmark...

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Literature Corpus work
d6ae1e5f-e32e-51de-9b6b-76342b2a4805
DOI
10.21203/rs.3.rs-7844536/v1
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OrganSegBench: A Comprehensive Multi-Organ Benchmark for Segmentation Foundation Models with a Practical Synergy Pathway to Clinical ApplicationDOI 10.21203/rs.3.rs-7844536/v1
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