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A Comparative Study on Feature Selection for Retinal Vessel Segmentation Using FABC., , and . CAIP, volume 5702 of Lecture Notes in Computer Science, page 655-662. Springer, (2009)Semi-automatic registration of retinal images based on line matching approach., , , and . CBMS, page 453-456. IEEE Computer Society, (2013)A multiscale approach to automatic and unsupervised retinal vessel segmentation using Self-Organizing Maps., and . CompSysTech, page 182-189. ACM, (2016)A General Procedure to Study Subcellular Models of Transsynaptic Signaling at Inhibitory Synapses., , , , , , , and . Frontiers Neuroinformatics, (2016)Automated Detection of Optic Disc Location in Retinal Images., , and . CBMS, page 17-22. IEEE Computer Society, (2008)Approximated Overlap Error for the Evaluation of Feature Descriptors on 3D Scenes., , , and . ICIAP (1), volume 8156 of Lecture Notes in Computer Science, page 270-279. Springer, (2013)Stable Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and a Modified Fuzzy C-Means Clustering., and . WILF, volume 6857 of Lecture Notes in Computer Science, page 244-252. Springer, (2011)A non-parametric segmentation methodology for oral videocapillaroscopic images., , , , , , and . Comput. Methods Programs Biomed., 114 (3): 240-246 (2014)Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering., and . CIBB, volume 6685 of Lecture Notes in Computer Science, page 263-274. Springer, (2010)VAMPIRE: Vessel assessment and measurement platform for images of the REtina., , , , , , , , , and 1 other author(s). EMBC, page 3391-3394. IEEE, (2011)