RGU-Mamba: An U-Mamba Network with Region-Based Training Optimized for Domain Generalization Applied to Myocardial Scar and Edema Segmentation
Jinghong Gao, Yuanhang Cai, Zekai Zhao, Xin Lan, Qicheng Huang, Linglong Lan, and Tie-Qiang Li
Comprehensive Analysis and Computing of Real-World Medical Images (CARE 2024), Lecture Notes in Computer Science, vol. 15548, 2025, pp. 77–86.
This work presents an improved U-Mamba framework for segmenting normal myocardium, edema, and scar in cardiac MRI acquired using multiple sequences across multiple centers. Histogram matching mitigates domain shift, while a region-based training strategy captures relationships among myocardial pathologies and improves domain generalization.