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Dr. Assoc. Prof. Ahmad Taher Azar :: Publications:

Title:
An Improved Ant Colony System for Retinal Vessel Segmentation. International Workshop on Artificial Intelligence in Medical Applications (AIMA'13) Kraków, Poland, September 8-11, 2013
Authors: Ahmed Asad, Ahmad Taher Azar, Aboul Ella Hassaanien
Year: 2013
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Ahmad Taher Azar_96.pdf
Supplementary materials Not Available
Abstract:

The diabetic retinopathy disease spreads diabetes on the retina vessels thus they lose blood supply that causes blindness in short time, so early detection of diabetes prevents blindness in more than 50% of cases. The early detection can be achieved by automatic segmentation of retinal blood vessels in retinal images which is two-class classi?cation problem. This paper proposes two improvements in previous approach uses ant colony system for automatic segmentation of retinal blood vessels. The ?rst improvement is done by adding new discriminant feature to the features pool used in classi?cation. The second improvement is done by applying new heuristic function based on probability theory in the ant colony system instead of the old that based on Euclidean distance used before. The results of improvements are promising when applying the improved approach on STARE database of retinal images.

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