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EVALUATION OF ARTIFICIAL INTELLIGENCE-BASED QUANTITATIVE ANALYSIS TO IDENTIFY CLINICALLY SIGNIFICANT SEVERE RETINOPATHY OF PREMATURITY.
Li, Jie; Huang, Kaide; Ju, Rong; Chen, Yuanyuan; Li, Mengyu; Yang, Shijun; Wang, Yue; Dong, Wentao; Liu, Miao; Chen, Sizhu; Leng, Hongmei; Zhong, Jie.
Afiliação
  • Li J; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Huang K; Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China; and.
  • Ju R; Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Chen Y; Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China; and.
  • Li M; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Yang S; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Wang Y; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Dong W; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Liu M; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Chen S; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Leng H; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Zhong J; Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Retina ; 42(1): 195-203, 2022 01 01.
Article em En | MEDLINE | ID: mdl-34387234
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oftalmoscopia / Retina / Algoritmos / Retinopatia da Prematuridade / Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Evaluation_studies / Observational_studies / Prognostic_studies Limite: Female / Humans / Male / Newborn Idioma: En Revista: Retina Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oftalmoscopia / Retina / Algoritmos / Retinopatia da Prematuridade / Inteligência Artificial / Aprendizado Profundo Tipo de estudo: Evaluation_studies / Observational_studies / Prognostic_studies Limite: Female / Humans / Male / Newborn Idioma: En Revista: Retina Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos