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.
Original language | English |
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Title of host publication | Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 |
Pages | 1690-1694 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 - Taichung, Taiwan, Province of China Duration: 15 Jun 2010 → 17 Jun 2010 |
Publication series
Name | Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 |
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Conference
Conference | 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 |
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Country/Territory | Taiwan, Province of China |
City | Taichung |
Period | 15/06/10 → 17/06/10 |
Keywords
- Computer aided detection
- Glaucoma
- Optic cup
- SVM
- Vessels
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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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. In Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 (pp. 1690-1694). Article 5515225 (Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010). https://doi.org/10.1109/ICIEA.2010.5515225