Retinal Blood Vessels Segmentation Based on Bio-Inspired Algorithm

Author:

Asad Ahmed Hamza,Hassaanien Aboul- Ella

Publisher

Springer International Publishing

Reference87 articles.

1. Aha, D.W., Bankert, R.: A comparative evaluation of sequential feature selection algorithms. In: Proceedings of 5th International Workshop on Artificial Intelligence and Statistics, vol 17 (1995)

2. Al-Diri, B., Hunter, A., Steel, D.: An active contour model for segmenting and measuring retinal vessels. IEEE Trans. Med. Imaging 28, 14881497 (2009)

3. Al-Rawi, M., Qutaishat, M., Arrar, M.: An improved matched filter for blood vessel detection of digital retinal images. Comput. Biol. Med. 37, 262267 (2007)

4. Asad, A.H., Azar, A.T., El-Bendary, N., Hassanien, A.E.: Ant colony based feature selection heuristics for retinal vessel segmentation. In: Proceedings of 2nd International Symposium on Intelligent Informatics (ISI13), Mysore, India, 22–25 Aug 2013

5. Asad, A.H., Azar, A.T., Hassanien, A.E.: Ant colony-based system for retinal blood vessels segmentation. In: Seventh International Conference on Bio-Inspired Computing: Theories and Application (BIC-TA 2012), Gwalior, India, 14–16 Dec 2012

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