Peer Reviewed

1

DOI

10.17077/omia.1017

Conference Location

Boston, MA, USA

Publication Date

September 2014

Abstract

Myopia is the leading public health concern with high prevalence in developed countries. In this paper, we present the ACHIKO-M fundus image database with both myopic and emmetropic cases for high myopia study. The database contains 705 myopic subjects and 151 normal subjects with both left eye and right eye images for each subject. In addition, various clinical data is also available, allowing correlation study of different risk factors. We evaluated two state-of-the-art automated myopia detection algorithms on this database to show how it can be used. Both methods achieve more than 90% accuracy for myopia diagnosis. We will also discuss how ACHIKO-M can be a good database for both scientific and clinical research of myopia.

Rights

Copyright © 2014, Fengshou Yin, Ruoying Li, Zhuo Zhang, Jun Cheng, Yanwu Xu, Damon Wee Kee Wong, Ngan Meng Tan, Ying Quan, Ai Ping Yow, Gopalakrishnan Kavitha, Guozhen Xu, and Jiang Liu.

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Sep 14th, 12:00 AM Sep 14th, 12:00 AM

ACHIKO-M Database for high myopia analysis and its evaluation

Boston, MA, USA

Myopia is the leading public health concern with high prevalence in developed countries. In this paper, we present the ACHIKO-M fundus image database with both myopic and emmetropic cases for high myopia study. The database contains 705 myopic subjects and 151 normal subjects with both left eye and right eye images for each subject. In addition, various clinical data is also available, allowing correlation study of different risk factors. We evaluated two state-of-the-art automated myopia detection algorithms on this database to show how it can be used. Both methods achieve more than 90% accuracy for myopia diagnosis. We will also discuss how ACHIKO-M can be a good database for both scientific and clinical research of myopia.