A deep learning-based model for automatic segmentation and evaluation of corneal neovascularization using slit-lamp anterior segment images.

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第一作者： Xiaoran,Chu

第一单位： Department of Cornea and Refractive Surgery, Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.

作者： Xiaoran,Chu ^[1] ; Xin,Wang ^[2] ; Chen,Zhang ^[1] ; Hui,Liu ^[1] ; Fei,Li ^[1] ; Guangxu,Li ^[2] ; Shaozhen,Zhao ^[3]

作者单位： Department of Cornea and Refractive Surgery, Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China. ^[1] School of Electronics and Information Engineering, Tiangong University, Tianjin, China. ^[2] Tianjin Optoelectronic Detection Technology and System Laboratory, Tianjin, China. ^[3]

关键词 Slit-lamp anterior segment images automated segmentation model computer aided diagnosis corneal neovascularization (CoNV)

DOI 10.21037/qims-23-99

PMID 37869308

发布时间 2023-10-30

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