9 citations · 15 across the 4 of their papers we have counts for
4 papers
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance
Shun Zou, Mingya Zhang, Bingjian Fan +2
Skin lesion segmentation is a crucial method for identifying early skin cancer. In recent years, both convolutional neural network (CNN) and Transformer-based methods have been wid…
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation
Mingya Zhang, Zhihao Chen, Yiyuan Ge +1
In the field of medical image segmentation, models based on both CNN and Transformer have been thoroughly investigated. However, CNNs have limited modeling capabilities for long-ra…
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
Mingya Zhang, Liang Wang, Zhihao Chen +2
The semantic segmentation task in pathology plays an indispensable role in assisting physicians in determining the condition of tissue lesions. With the proposal of Segment Anythin…
VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation
Mingya Zhang, Yue Yu, Limei Gu +2
In the field of medical image segmentation, models based on both CNN and Transformer have been thoroughly investigated. However, CNNs have limited modeling capabilities for long-ra…