Skin lesion classification based on two-modal images using a multi-scale fully-shared fusion network.

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作者： Yiguang,Yang ^[1] ; Fengying,Xie ^[2] ; Haopeng,Zhang ^[1] ; Juncheng,Wang ^[3] ; Jie,Liu ^[3] ; Yilan,Zhang ^[1] ; Haidong,Ding ^[1]

作者单位： Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China. ^[1] Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China. Electronic address: xfy_73@buaa.edu.cn. ^[2] Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, National Clinical Research Center for Dermatologic and Immunologic Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China. ^[3]

关键词 Dermo-clinical block Fully-shared fusion Multi-scale structure Skin lesion classification Two-modal images

主题词人类(Humans);皮肤疾病(Skin Diseases);皮肤(Skin);氯苯类(Chlorobenzenes);诊断, 计算机辅助(Diagnosis, Computer-Assisted)

DOI 10.1016/j.cmpb.2022.107315

PMID 36586177

发布时间 2023-02-07

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