Title :
ACHIKO-I retinal fundus image database and its evaluation on cup-to-disc ratio measurement
Author :
Fengshou Yin ; Jiang Liu ; Wong, Damon Wing Kee ; Ngan Meng Tan ; Beng Hai Lee ; Thet Htoo ; Zhuo Zhang ; Yanwu Xu ; Xinting Gao
Author_Institution :
Inst. for Infocomm Res., A*STAR, Singapore, Singapore
Abstract :
Retinal fundus image is a widely used image modality to diagnose ocular diseases such as glaucoma, age-related macular degeneration and diabetic retinopathy. There are a number of fundus image databases available online. However, most of them are used for blood vessel extraction and optic disc localization, and hardly any have optic cup annotation. In this paper, we present a fundus image database with accurate annotation of both the optic disc and optic cup. Besides, there are multiple images for the same subject, taking under different conditions, allowing repeatability study of automated segmentation algorithms. Currently, ACHIKO-I contains 179 images and is divided into two subsets for different purposes. The database is used to evaluate our work o n cup-to-disc ratio (CDR) measurement, which also demonstrates how the database can be used and assessed.
Keywords :
biomedical optical imaging; diseases; eye; image segmentation; medical image processing; ACHIKO-I retinal fundus image database; age-related macular degeneration diagnosis; automated segmentation algorithm; blood vessel extraction; cup-to-disc ratio measurement; diabetic retinopathy diagnosis; glaucoma diagnosis; image modality; ocular disease diagnosis; optic cup annotation; optic disc localization; Biomedical optical imaging; Databases; Image segmentation; Integrated optics; Optical fibers; Optical imaging;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566370