A Methodology to Segment Retinal Vessels Using Region-Based Features
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-3920-1_37
Reference15 articles.
1. K.U. research, chase db1, online available: http://blogs.kingston.ac.uk/retinal/chasedb1 (January 2011)
2. Akhavan, R., Faez, K.: A novel retinal blood vessel segmentation algorithm using fuzzy segmentation. International Journal of Electrical and Computer Engineering (IJECE) 04(04), 561–572 (August 2014)
3. Awan, A.W., Awan, Z.W., Akram, M.U.: A robust algorithm for segmentation of blood vessels in the presence of lesions in retinal fundus images. In: 2015 IEEE International Conference on Imaging Systems and Techniques (IST). pp. 1–6 (Sept 2015)
4. Fraz, M.M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A.R., Owen, C.G., Barman, S.A.: An ensemble classification-based approach applied to retinal blood vessel segmentation. IEEE Transactions on Biomedical Engineering 59(9), 2538–2548 (Sept 2012)
5. Fraz, M.M., Remagnino, P., Hoppe, A., Velastin, S., Uyyanonvara, B., Barman, S.A.: A supervised method for retinal blood vessel segmentation using line strength, multiscale gabor and morphological features. In: Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on. pp. 410–415 (Nov 2011).
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