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Artificial Intelligence to Detect Meibomian Gland Dysfunction From in-vivo Laser Confocal Microscopy.
Zhang, Ye-Ye; Zhao, Hui; Lin, Jin-Yan; Wu, Shi-Nan; Liu, Xi-Wang; Zhang, Hong-Dan; Shao, Yi; Yang, Wei-Feng.
Affiliation
  • Zhang YY; Department of Electronic Engineering, School of Science, Hainan University, Haikou, China.
  • Zhao H; Department of Electronic Engineering, College of Engineering, Shantou University, Shantou, China.
  • Lin JY; Department of Ophthalmology, Shanghai First People's Hospital, Shanghai Jiao Tong University, National Clinical Research Center for Eye Diseases, Shanghai, China.
  • Wu SN; Research Center for Advanced Optics and Photoelectronics, Department of Physics, College of Science, Shantou University, Shantou, China.
  • Liu XW; Jiangxi Centre of National Ophthalmology Clinical Research Center, Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Zhang HD; Research Center for Advanced Optics and Photoelectronics, Department of Physics, College of Science, Shantou University, Shantou, China.
  • Shao Y; Department of Mathematics, College of Science, Shantou University, Shantou, China.
  • Yang WF; Research Center for Advanced Optics and Photoelectronics, Department of Physics, College of Science, Shantou University, Shantou, China.
Front Med (Lausanne) ; 8: 774344, 2021.
Article de En | MEDLINE | ID: mdl-34901091
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Front Med (Lausanne) Année: 2021 Type de document: Article Pays d'affiliation: Chine
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 Med (Lausanne) Année: 2021 Type de document: Article Pays d'affiliation: Chine