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eess.IV2026
Rich-U-Net: A medical image segmentation model for fusing spatial depth features and capturing minute structural details
Zhuoyi Fang, Kexuan Shi, Jiajia Liu +1
Medical image segmentation is of great significance in analysis of illness. The use of deep neural networks in medical image segmentation can help doctors extract regions of intere…
eess.IV2026
DeepBayesFlow: A Bayesian Structured Variational Framework for Generalizable Prostate Segmentation via Expressive Posteriors and SDE-Girsanov Uncertainty Modeling
Zhuoyi Fang
Automatic prostate MRI segmentation faces persistent challenges due to inter-patient anatomical variability, blurred tissue boundaries, and distribution shifts arising from diverse…
eess.IV2024★ 1 cited
When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion Segmentation
Zhuoyi Fang, Jiajia Liu, Kexuan Shi +1
Automatic melanoma segmentation is essential for early skin cancer detection, yet challenges arise from the heterogeneity of melanoma, as well as interfering factors like blurred b…