most citedCFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Heterogeneous Medical Images

34 citations · 34 across the 1 of their papers we have counts for

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1 paper

cs.CV2025★ 34 cited

CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Heterogeneous Medical Images

Jiaxuan Li, Qing Xu, Xiangjian He +5

Medical image segmentation plays an important role in computer-aided diagnosis. Existing methods mainly utilize spatial attention to highlight the region of interest. However, due…