Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images

This study aimed to develop a machine learning-based algorithm for glaucoma diagnosis in patients with open-angle glaucoma, based on three-dimensional optical coherence tomography (OCT) data and color fundus images. In this study, 208 glaucomatous and 149 healthy eyes were enrolled, and color fundus...

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Enregistré dans:
Détails bibliographiques
Publié dans:J Healthc Eng
Auteurs principaux: An, Guangzhou, Omodaka, Kazuko, Hashimoto, Kazuki, Tsuda, Satoru, Shiga, Yukihiro, Takada, Naoko, Kikawa, Tsutomu, Yokota, Hideo, Akiba, Masahiro, Nakazawa, Toru
Format: Artigo
Langue:Inglês
Publié: Hindawi 2019
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6397963/
https://ncbi.nlm.nih.gov/pubmed/30911364
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/4061313
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