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Improving retinal artery and vein classification by means of a minimal path approach., , , , , , , , and . Mach. Vis. Appl., 24 (5): 919-930 (2013)Reliable monitoring system for arteriovenous ratio computation., , , and . Comp. Med. Imag. and Graph., 37 (5-6): 337-345 (2013)Conversion into Three-Dimensional Implicit Surface Representation from Topological Active Volumes Based Segmentation., , , and . IbPRIA (1), volume 3522 of Lecture Notes in Computer Science, page 60-68. Springer, (2005)Vessel Tree Extraction and Depth Estimation with OCT Images., , , , and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 23-33. Springer, (2016)On the analysis of local and global features for hyperemia grading., , , , , and . ICMV, volume 10341 of SPIE Proceedings, page 103411T. SPIE, (2016)Feature Selection Applied to Human Tear Film Classification., , , , and . ICAART (1), page 395-402. SciTePress, (2014)Perceptual organization of directional primitives using a pseudocolor fuzzy hough transform for arc detection., , , and . VISAPP (1), page 434-439. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2006)Automated Segmentation of the Central Serous Chorioretinopathy fluid regions using Optical Coherence Tomography Scans., , , , and . CBMS, page 1-6. IEEE, (2021)Improvements in retinal vessel clustering techniques: towards the automatic computation of the arterio venous ratio., , , , and . Computing, 90 (3-4): 197-217 (2010)Comparing Machine Learning Techniques in a Hyperemia Grading Framework., , , , and . ICAART (2), page 423-429. SciTePress, (2016)