@inproceedings{a0c274eed5554ef3a351e1996cc32029,
title = "Method of detecting kink-bearing vessels in a retinal fundus image",
abstract = "Glaucoma is the second leading cause of blindness worldwide. The risk of glaucoma can be determined by calculating the cup to disc ratio in retinal fundus images. To accurately detect the optic cup, kinks or bends in small and medium vessels are important indicators of the cup boundary. In this paper, we present a method of detecting such vessels, through the extraction of patches and generation of hybrid features in a SVM-based model. The segmentation results show good potential for the further development of this method.",
keywords = "Computer aided detection, Glaucoma, Optic cup, SVM, Vessels",
author = "Wong, {Damon W.K.} and Jiang Liu and Lim, {Joo Hwee} and Tan, {Ngan Meng} and Zhuo Zhang and Huiqi Li and Shijian Lu and Wong, {Tien Yin}",
year = "2010",
doi = "10.1109/ICIEA.2010.5515225",
language = "English",
isbn = "9781424450466",
series = "Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010",
pages = "1690--1694",
booktitle = "Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010",
note = "5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 ; Conference date: 15-06-2010 Through 17-06-2010",
}