195 citations · 366 across the 4 of their papers we have counts for
4 papers
Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots
Renkai Wu, Xianjin Wang, Pengchen Liang +3
Robot-assisted surgery has profoundly influenced current forms of minimally invasive surgery. However, in transurethral suburethral urological surgical robots, they need to work in…
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation
Renkai Wu, Yinghao Liu, Pengchen Liang +1
Traditionally for improving the segmentation performance of models, most approaches prefer to use adding more complex modules. And this is not suitable for the medical field, espec…
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation
Renkai Wu, Yinghao Liu, Pengchen Liang +1
In the field of medical image segmentation, variant models based on Convolutional Neural Networks (CNNs) and Visual Transformers (ViTs) as the base modules have been very widely de…
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification
Renkai Wu, Yinghao Liu, Pengchen Liang +1
Computer-aided diagnosis of skin diseases is an important tool. However, the interpretability of computer-aided diagnosis is currently poor. Dermatologists and patients cannot intu…