A framework for retinal vessel segmentation from fundus images using hybrid feature set and hierarchical classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/article/10.1007/s11760-018-1366-x/fulltext.html
Reference37 articles.
1. Fraz, M.M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A.R., Owen, C.G., Barman, S.A.: Blood vessel segmentation methodologies in retinal images—a survey. Comput. Methods Programs Biomed. 108, 407–433 (2012)
2. Marín, D., Aquino, A., Gegundez-Arias, M.E., Bravo, J.M.: A New supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE Trans. Med. Imaging 30, 146–158 (2011). https://doi.org/10.1109/TMI.2010.2064333
3. Azzopardi, G., Strisciuglio, N., Vento, M., Petkov, N.: Trainable COSFIRE filters for vessel delineation with application to retinal images. Med. Image Anal. 19, 46–57 (2015). https://doi.org/10.1016/j.media.2014.08.002
4. Soares, J.V.B., Leandro, J.J.G., Cesar, R.M., Jelinek, H.F., Cree, M.J.: Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification. IEEE Trans. Med. Imaging 25, 1214–1222 (2006). https://doi.org/10.1109/TMI.2006.879967
5. Hoover, A.D., Kouznetsova, V., Goldbaum, M.: Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. Med. Imaging 19, 203–210 (2000). https://doi.org/10.1109/42.845178
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