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cs.CV2026
High-Fidelity 3D Geometric Reconstruction of Pelvic Organs from MRI: A Hybrid Deep Learning and Iterative Optimization Approach
Hui Wang, Xiaowei Li, Chenxin Zhang +7
Patient-specific 3D reconstruction of pelvic organ geometry from MRI is important for pelvic floor modeling and downstream patient-specific analysis. However, while previous studie…
cs.CV2023★ 1 cited
Pelvic floor MRI segmentation based on semi-supervised deep learning
Jianwei Zuo, Fei Feng, Zhuhui Wang +3
The semantic segmentation of pelvic organs via MRI has important clinical significance. Recently, deep learning-enabled semantic segmentation has facilitated the three-dimensional…