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Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography.
Maunz, Andreas; Benmansour, Fethallah; Li, Yvonna; Albrecht, Thomas; Zhang, Yan-Ping; Arcadu, Filippo; Zheng, Yalin; Madhusudhan, Savita; Sahni, Jayashree.
Afiliação
  • Maunz A; Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Benmansour F; Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Li Y; Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Albrecht T; Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Zhang YP; Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Arcadu F; Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
  • Zheng Y; Department of Eye and Vision Science, University of Liverpool, Liverpool L7 8XP, UK.
  • Madhusudhan S; Liverpool Ophthalmic Reading Centre (NetwORC, UK), St. Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool L7 8XP, UK.
  • Sahni J; Department of Eye and Vision Science, University of Liverpool, Liverpool L7 8XP, UK.
J Pers Med ; 11(6)2021 Jun 08.
Article em En | MEDLINE | ID: mdl-34201045

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article