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Three-dimensional diabetic macular edema thickness maps based on fluid segmentation and fovea detection using deep learning.
Xu, Jing-Jing; Zhou, Yang; Wei, Qi-Jie; Li, Kang; Li, Zhen-Ping; Yu, Tian; Zhao, Jian-Chun; Ding, Da-Yong; Li, Xi-Rong; Wang, Guang-Zhi; Dai, Hong.
Afiliação
  • Xu JJ; School of Medicine, Tsinghua University, Beijing 100084, China.
  • Zhou Y; Visionary Intelligence Company Limited, Beijing 100872, China.
  • Wei QJ; Visionary Intelligence Company Limited, Beijing 100872, China.
  • Li K; Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciencies, Beijing 100730, China.
  • Li ZP; Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciencies, Beijing 100730, China.
  • Yu T; Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciencies, Beijing 100730, China.
  • Zhao JC; Visionary Intelligence Company Limited, Beijing 100872, China.
  • Ding DY; Visionary Intelligence Company Limited, Beijing 100872, China.
  • Li XR; Key Lab of Data Engineering and Knowledge Engineering, Renmin University of China, Beijing 100872, China.
  • Wang GZ; School of Medicine, Tsinghua University, Beijing 100084, China.
  • Dai H; Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciencies, Beijing 100730, China.
Int J Ophthalmol ; 15(3): 495-501, 2022.
Article em En | MEDLINE | ID: mdl-35310049
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Int J Ophthalmol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Int J Ophthalmol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China