Article
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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Identifiers and source
- Literature Corpus work
- d6ae1e5f-e32e-51de-9b6b-76342b2a4805
- DOI
- 10.21203/rs.3.rs-7844536/v1
