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[Shape-aware cross-modal domain adaptive segmentation model].

Yusi Liu^1,2,3, Liangce Qi^1,2,3, Zhaoheng Diao^1,2,3

¹School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|December 25, 2025

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This summary is machine-generated.

This study introduces a novel shape-aware adaptive weighting (SAWS) model for cross-modal medical image segmentation. SAWS enhances segmentation accuracy by better perceiving target areas and utilizing shape priors, improving generalization in unsupervised domain adaptation tasks.

Area of Science:

Medical image analysis
Computer vision
Artificial intelligence

Keywords:

Cross modal Domain adaptation Self-adaptation Semantic segmentation Shape perception

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