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Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degeneration.
Wang, Zhaoran; Lim, Gilbert; Ng, Wei Yan; Tan, Tien-En; Lim, Jane; Lim, Sing Hui; Foo, Valencia; Lim, Joshua; Sinisterra, Laura Gutierrez; Zheng, Feihui; Liu, Nan; Tan, Gavin Siew Wei; Cheng, Ching-Yu; Cheung, Gemmy Chui Ming; Wong, Tien Yin; Ting, Daniel Shu Wei.
Affiliation
  • Wang Z; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Lim G; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Ng WY; Singapore Eye Research Institute, Singapore, Singapore.
  • Tan TE; Singapore Eye Research Institute, Singapore, Singapore.
  • Lim J; Singapore National Eye Centre, Singapore, Singapore.
  • Lim SH; Singapore Eye Research Institute, Singapore, Singapore.
  • Foo V; Singapore National Eye Centre, Singapore, Singapore.
  • Lim J; Singapore Eye Research Institute, Singapore, Singapore.
  • Sinisterra LG; Singapore National Eye Centre, Singapore, Singapore.
  • Zheng F; Singapore Eye Research Institute, Singapore, Singapore.
  • Liu N; Singapore National Eye Centre, Singapore, Singapore.
  • Tan GSW; Singapore Eye Research Institute, Singapore, Singapore.
  • Cheng CY; Singapore National Eye Centre, Singapore, Singapore.
  • Cheung GCM; Singapore Eye Research Institute, Singapore, Singapore.
  • Wong TY; Singapore National Eye Centre, Singapore, Singapore.
  • Ting DSW; Singapore Eye Research Institute, Singapore, Singapore.
Front Med (Lausanne) ; 10: 1184892, 2023.
Article in En | MEDLINE | ID: mdl-37425325

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Risk_factors_studies / Screening_studies Language: En Journal: Front Med (Lausanne) Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Risk_factors_studies / Screening_studies Language: En Journal: Front Med (Lausanne) Year: 2023 Document type: Article Affiliation country: Country of publication: