15 citations · 40 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +1
Recently, Visual Transformer (ViT) has been extensively used in medical image segmentation (MIS) due to applying self-attention mechanism in the spatial domain to modeling global k…
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
Jiacheng Ruan, Mingye Xie, Jingsheng Gao +2
Transformer and its variants have been widely used for medical image segmentation. However, the large number of parameter and computational load of these models make them unsuitabl…
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
Jiacheng Ruan, Suncheng Xiang, Mingye Xie +2
Recently, some pioneering works have preferred applying more complex modules to improve segmentation performances. However, it is not friendly for actual clinical environments due…
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation
Jiacheng Ruan, Mingye Xie, Suncheng Xiang +2
Recently, Visual Transformer (ViT) has been widely used in various fields of computer vision due to applying self-attention mechanism in the spatial domain to modeling global knowl…