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A deep learning-based model for automatic segmentation and evaluation of corneal neovascularization using slit-lamp anterior segment images.
Chu, Xiaoran; Wang, Xin; Zhang, Chen; Liu, Hui; Li, Fei; Li, Guangxu; Zhao, Shaozhen.
Affiliation
  • Chu X; 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.
  • Wang X; School of Electronics and Information Engineering, Tiangong University, Tianjin, China.
  • Zhang C; 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.
  • Liu H; 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.
  • Li F; 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.
  • Li G; School of Electronics and Information Engineering, Tiangong University, Tianjin, China.
  • Zhao S; Tianjin Optoelectronic Detection Technology and System Laboratory, Tianjin, China.
Quant Imaging Med Surg ; 13(10): 6778-6788, 2023 Oct 01.
Article in En | MEDLINE | ID: mdl-37869308
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China