2026
Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR images
ICASSP 2026poster
Accurate segmentation of breast tumors in magnetic resonance images (MRI) is essential for breast cancer diagnosis, yet existing methods face challenges in capturing irregular tumor shapes and effectively integrating local and global features. To address these limitations, we propose an uncertainty-…