A deep learning model for the detection of both advanced and early glaucoma using fundus photography

PURPOSE: To build a deep learning model to diagnose glaucoma using fundus photography. DESIGN: Cross sectional case study Subjects, Participants and Controls: A total of 1,542 photos (786 normal controls, 467 advanced glaucoma and 289 early glaucoma patients) were obtained by fundus photography. MET...

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Detalles Bibliográficos
Autores principales: Ahn, Jin Mo, Kim, Sangsoo, Ahn, Kwang-Sung, Cho, Sung-Hoon, Lee, Kwan Bok, Kim, Ungsoo Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258525/
https://www.ncbi.nlm.nih.gov/pubmed/30481205
http://dx.doi.org/10.1371/journal.pone.0207982

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258525/
https://www.ncbi.nlm.nih.gov/pubmed/30481205
http://dx.doi.org/10.1371/journal.pone.0207982

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