Your browser doesn't support javascript.
loading
Self-supervised anomaly detection, staging and segmentation for retinal images.
Li, Yiyue; Lao, Qicheng; Kang, Qingbo; Jiang, Zekun; Du, Shiyi; Zhang, Shaoting; Li, Kang.
Afiliação
  • Li Y; Department of Ophthalmology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China; West China Biomedical Big Data Center, Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Lao Q; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China. Electronic address: qicheng.lao@bupt.edu.cn.
  • Kang Q; West China Biomedical Big Data Center, Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, 610041, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China.
  • Jiang Z; West China Biomedical Big Data Center, Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Du S; West China Biomedical Big Data Center, Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Zhang S; Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China.
  • Li K; West China Biomedical Big Data Center, Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, 610041, China; Sichuan University Pittsburgh Institute, Chengdu, Sichuan, 610065, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China. Electronic address: likang@wchscu.
Med Image Anal ; 87: 102805, 2023 07.
Article em En | MEDLINE | ID: mdl-37104995
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Retinianas / Diagnóstico por Computador Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Retinianas / Diagnóstico por Computador Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article