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BLA-Net:Boundary learning assisted network for skin lesion segmentation.

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第一作者： Ruiqi,Feng

第一单位： Faculty of Information Technology, Beijing University of Technology, China; Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, China.

作者： Ruiqi,Feng ^[1] ; Li,Zhuo ^[2] ; Xiaoguang,Li ^[1] ; Hongxia,Yin ^[3] ; Zhenchang,Wang ^[4]

作者单位： Faculty of Information Technology, Beijing University of Technology, China; Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, China. ^[1] Faculty of Information Technology, Beijing University of Technology, China; Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, China. Electronic address: zhuoli@bjut.edu.cn. ^[2] Department of Radiology, Beijing Friendship Hospital, Capital Medical University, China. ^[3] Department of Radiology, Beijing Friendship Hospital, Capital Medical University, China. Electronic address: cjr.wzhch@vip.163.com. ^[4]

关键词 Auxiliary boundary learning network Dynamic deformable convolution Global context information extraction module Skin lesion segmentation

医学主题词人类(Humans);皮肤镜检查(Dermoscopy);图像处理, 计算机辅助(Image Processing, Computer-Assisted);皮肤疾病(Skin Diseases);诊断, 计算机辅助(Diagnosis, Computer-Assisted)

DOI 10.1016/j.cmpb.2022.107190

PMID 36288686

发布时间 2022-11-14

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