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
Published in:	Journal of healthcare engineering Vol. 2019; no. 2019; pp. 1 - 9
Main Authors:	Nakazawa, Toru, Akiba, Masahiro, Kikawa, Tsutomu, Takada, Naoko, Shiga, Yukihiro, Tsuda, Satoru, Hashimoto, Kazuki, Omodaka, Kazuko, An, Guangzhou, Yokota, Hideo
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2019 Hindawi John Wiley & Sons, Inc
Subjects:	Adult Aged Algorithms Analysis Area Under Curve Cable television broadcasting industry Female Fundus Oculi Glaucoma Glaucoma - diagnostic imaging Humans Image Interpretation, Computer-Assisted - methods Instrument industry Machine Learning Male Middle Aged Neural networks Retina - diagnostic imaging Tomography Tomography, Optical Coherence - methods United States Japan
ISSN:	2040-2295, 2040-2309, 2040-2309
Online Access:	Get full text
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