摘要
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.
源语言 | 英语 |
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主期刊名 | Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 |
页 | 1690-1694 |
页数 | 5 |
DOI | |
出版状态 | 已出版 - 2010 |
已对外发布 | 是 |
活动 | 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 - Taichung, 中国台湾 期限: 15 6月 2010 → 17 6月 2010 |
出版系列
姓名 | Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 |
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会议
会议 | 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 |
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国家/地区 | 中国台湾 |
市 | Taichung |
时期 | 15/06/10 → 17/06/10 |
引用此
Wong, D. W. K., Liu, J., Lim, J. H., Tan, N. M., Zhang, Z., Li, H., Lu, S., & Wong, T. Y. (2010). Method of detecting kink-bearing vessels in a retinal fundus image. 在 Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 (页码 1690-1694). 文章 5515225 (Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010). https://doi.org/10.1109/ICIEA.2010.5515225