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

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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Bibliographic Details
Main Authors: Guangzhou An, Kazuko Omodaka, Kazuki Hashimoto, Satoru Tsuda, Yukihiro Shiga, Naoko Takada, Tsutomu Kikawa, Hideo Yokota, Masahiro Akiba, Toru Nakazawa
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2019/4061313

Internet

http://dx.doi.org/10.1155/2019/4061313

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