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Deep Learning-Based Estimation of Axial Length and Subfoveal Choroidal Thickness From Color Fundus Photographs.
Dong, Li; Hu, Xin Yue; Yan, Yan Ni; Zhang, Qi; Zhou, Nan; Shao, Lei; Wang, Ya Xing; Xu, Jie; Lan, Yin Jun; Li, Yang; Xiong, Jian Hao; Liu, Cong Xin; Ge, Zong Yuan; Jonas, Jost B; Wei, Wen Bin.
Affiliation
  • Dong L; Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Laboratory, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren
  • Hu XY; Beijing Eaglevision Technology Co., Ltd., Beijing, China.
  • Yan YN; Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Laboratory, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren
  • Zhang Q; Beijing Ophthalmology and Visual Science Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing, China.
  • Zhou N; Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Laboratory, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren
  • Shao L; Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Laboratory, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren
  • Wang YX; Beijing Ophthalmology and Visual Science Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing, China.
  • Xu J; Beijing Ophthalmology and Visual Science Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing, China.
  • Lan YJ; Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Laboratory, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren
  • Li Y; Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Laboratory, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren
  • Xiong JH; Beijing Eaglevision Technology Co., Ltd., Beijing, China.
  • Liu CX; Beijing Eaglevision Technology Co., Ltd., Beijing, China.
  • Ge ZY; eResearch centre, Monash University, Melbourne, VIC, Australia.
  • Jonas JB; ECSE, Faculty of Engineering, Monash University, Melbourne, VIC, Australia.
  • Wei WB; Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Front Cell Dev Biol ; 9: 653692, 2021.
Article de En | MEDLINE | ID: mdl-33898450
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Front Cell Dev Biol Année: 2021 Type de document: Article Pays de publication: Suisse
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Front Cell Dev Biol Année: 2021 Type de document: Article Pays de publication: Suisse