Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters

PURPOSE: This study aimed to develop a machine learning-based algorithm for objective classification of the optic disc in patients with open-angle glaucoma (OAG), using quantitative parameters obtained from ophthalmic examination instruments. METHODS: This study enrolled 163 eyes of 105 OAG patients...

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Detalles Bibliográficos
Autores principales: Omodaka, Kazuko, An, Guangzhou, Tsuda, Satoru, Shiga, Yukihiro, Takada, Naoko, Kikawa, Tsutomu, Takahashi, Hidetoshi, Yokota, Hideo, Akiba, Masahiro, Nakazawa, Toru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736185/
https://www.ncbi.nlm.nih.gov/pubmed/29261773
http://dx.doi.org/10.1371/journal.pone.0190012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736185/
https://www.ncbi.nlm.nih.gov/pubmed/29261773
http://dx.doi.org/10.1371/journal.pone.0190012

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