Metaheuristic Techniques for Detection of Optic Disc in Retinal Fundus Images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Software
Link
http://link.springer.com/article/10.1007/s13319-018-0198-3/fulltext.html
Reference33 articles.
1. Abdullah, A. S., Özok, Y. E., & Rahebi, J. (2018). A novel method for retinal optic disc detection using bat meta-heuristic algorithm. Medical & Biological Engineering & Computing. https://doi.org/10.1007/s11517-018-1840-1 .
2. Abdullah, M., Fraz, M. M., & Barman, S. A. (2016). Localization and segmentation of optic disc in retinal images using Circular Hough transform and Grow Cut algorithm. PeerJ, 4, e2003. https://doi.org/10.7717/peerj.2003 .
3. Abed, S., Al-Roomi, S. A., & Al-Shayeji, M. (2016). Effective optic disc detection method based on swarm intelligence techniques and novel pre-processing steps. Applied Soft Computing, 49, 146–163. https://doi.org/10.1016/j.asoc.2016.08.015 .
4. Alshayeji, M., Al-Roomi, S. A., & Abed, S. (2017). Optic disc detection in retinal fundus images using gravitational law-based edge detection. Medical & Biological Engineering & Computing, 55, 935–948. https://doi.org/10.1007/s11517-016-1563-0 .
5. Aquino, A., Gegúndez-Arias, M. E., & Marín, D. (2010). Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques. IEEE Transactions on Medical Imaging, 29, 1860–1869. https://doi.org/10.1109/TMI.2010.2053042 .
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