9 citations · 12 across the 4 of their papers we have counts for
4 papers
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Mingya Zhang, Liang Wang, Limei Gu +2
Semi-supervised medical image segmentation (SSMIS) shows promise in reducing reliance on scarce labeled medical data. However, SSMIS field confronts challenges such as distribution…
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…