Article

OrganSegBench: Bridging the Translational Gap for Medical Segmentation Foundation Models Through Principled Model Synergy

2026-06-25

Abstract excerpt

<title>Abstract</title> <p>The clinical translation of Segmentation Foundation Models (SFMs) is currently impeded by a critical misalignment between general-purpose artificial intelligence (AI) capabilities and the stringent requirements of healthcare, particularly regarding robustness, fairness and clinical performance. While SFMs show promise in computer vision, existing benchmarks often provide overoptimistic...

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Literature Corpus work: a6dd9820-fea1-578b-88ae-2a994a5d5181
DOI: 10.21203/rs.3.rs-9781531/v1

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