A deep learning approach to automatic detection of early glaucoma from visual fields

PURPOSE: To investigate the suitability of multi-scale spatial information in 30(o) visual fields (VF), computed from a Convolutional Neural Network (CNN) classifier, for early-glaucoma vs. control discrimination. METHOD: Two data sets of VFs acquired with the OCTOPUS 101 G1 program and the Humphrey...

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Detalles Bibliográficos
Autores principales: Kucur, Şerife Seda, Holló, Gábor, Sznitman, Raphael
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/PMC6261540/
https://www.ncbi.nlm.nih.gov/pubmed/30485270
http://dx.doi.org/10.1371/journal.pone.0206081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261540/
https://www.ncbi.nlm.nih.gov/pubmed/30485270
http://dx.doi.org/10.1371/journal.pone.0206081

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