Search Results for author: Qingqi Hong

Found 5 papers, 5 papers with code

ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation

1 code implementation3 Feb 2024 Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, YuanTing Zhang, Qingqi Hong, Dinggang Shen

The proposed ScribFormer model has a triple-branch structure, i. e., the hybrid of a CNN branch, a Transformer branch, and an attention-guided class activation map (ACAM) branch.

Image Segmentation Medical Image Segmentation +2

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