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Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion.

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第一作者： Xiaodong,Huang

第一单位： Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; Henan University of Science and Technology, Luoyang 471000, China.

作者： Xiaodong,Huang ^[1] ; Li,Zhuo ^[2] ; Hui,Zhang ^[3] ; Yang,Yang ^[4] ; Xiaoguang,Li ^[3] ; Jing,Zhang ^[3] ; Wei,Wei ^[4]

作者单位： Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; Henan University of Science and Technology, Luoyang 471000, China. ^[1] Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; Beijing Key Laboratory Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China. Electronic address: zhuoli@bjut.edu.cn. ^[2] Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; Beijing Key Laboratory Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China. ^[3] Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China. ^[4]

关键词 Feature fusion Global context-aware pyramid feature extraction Hybrid channel-spatial attention Polyp segmentation

医学主题词注意力(Attention);图像处理, 计算机辅助(Image Processing, Computer-Assisted);学习(Learning)

DOI 10.1016/j.compmedimag.2022.102072

PMID 35594809

发布时间 2022-07-14

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