Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography

Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography

Abstract Background It is necessary to consider myopic optic disc tilt as it seriously impacts normal ocular parameters. However, ophthalmologic measurements are within inter-observer variability and time-consuming to get. This study aimed to develop and evaluate deep learning models that automatica...

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Bibliographic Details
Main Authors: Baek Hwan Cho, Da Young Lee, Kyung-Ah Park, Sei Yeul Oh, Jong Hak Moon, Ga-In Lee, Hoon Noh, Joon Kyo Chung, Min Chae Kang, Myung Jin Chung
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Ophthalmology
Subjects:
Fundus photographs
Myopic tilted optic disc
Deep learning algorithm
Automated computer-aided recognition
Online Access:http://link.springer.com/article/10.1186/s12886-020-01657-w

Internet

http://link.springer.com/article/10.1186/s12886-020-01657-w

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