1 citations · 1 across the 2 of their papers we have counts for
2 papers
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★ 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…