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MedSeg-Adapt: Clinical Query-Guided Adaptive Medical Image Segmentation via Generative Data Augmentation and Benchmarking

2025-11-19

Abstract excerpt

Medical image segmentation systems, despite their recent sophistication, often face substantial performance degradation when exposed to unseen imaging environments—caused by differences in scanner types, acquisition protocols, or rare pathological conditions. To address this crucial issue, we introduce \textbf{MedSeg-Adapt}, a novel framework that enables \textit{clinical query-guided adaptive medical image segmen...

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Literature Corpus work
3e0de998-247d-57b2-9f66-523e999597f7
DOI
10.20944/preprints202511.1448.v1
Open publication

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MedSeg-Adapt: Clinical Query-Guided Adaptive Medical Image Segmentation via Generative Data Augmentation and BenchmarkingDOI 10.20944/preprints202511.1448.v1
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