33 citations · 33 across the 2 of their papers we have counts for
2 papers
cs.CV2026
UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation
Shuokun Cheng, Jinghao Shi, Kun Sun
Accurate lesion segmentation is crucial for clinical diagnosis and treatment planning. However, lesions often resemble surrounding tissues and exhibit ill-defined boundaries, leadi…
eess.IV2024★ 33 cited
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
Lei Zhou, Yuzhong Zhang, Jiadong Zhang +8
Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for…