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September 23, 2025Open Access

Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation

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FA-SAM enhances automated segmentation in medical imaging, overcoming limitations of domain-specific prompts.

FA-SAM achieves fully automated segmentation with SAM by addressing prompt dependency and uncertainty.
Extensive experiments on prostate and fundus vessel datasets validate the effectiveness of FA-SAM in clinical settings.
The AGM and IPEF modules significantly improve output quality by managing prompt-induced errors and capturing detailed features.
Mitigating domain shift contributions enables broader application of automated segmentation in various medical scenarios.

Zhuo et al. (2025) studied this question.

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