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Blood vessel segmentation methodologies in retinal images - A survey.

, , , , , , and . Computer Methods and Programs in Biomedicine, 108 (1): 407-433 (2012)

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Exploiting peer group concept for adaptive and highly available services, , , and . CoRR, (2003)Blood vessel segmentation methodologies in retinal images - A survey., , , , , , and . Computer Methods and Programs in Biomedicine, 108 (1): 407-433 (2012)Detailed Sentence Generation Architecture for Image Semantics Description., , and . ISVC, volume 11241 of Lecture Notes in Computer Science, page 423-432. Springer, (2018)Enhanced Super-Resolution via Squeeze-and-Residual-Excitation in Aerial Imagery., , and . FIT, page 19-24. IEEE, (2021)Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification., , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (5): 795-811 (2014)Cellular Community Detection for Tissue Phenotyping in Histology Images., , , , and . COMPAY/OMIA@MICCAI, volume 11039 of Lecture Notes in Computer Science, page 120-129. Springer, (2018)End to End Person Re-Identification for Automated Visual Surveillance., , , and . IPAS, page 220-225. IEEE, (2018)QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology., , , , , and . Expert Syst. Appl., 42 (20): 7221-7234 (2015)Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification., , , , and . Biomed. Signal Proc. and Control, (2017)An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation., , , , , , and . IEEE Trans. Biomed. Engineering, 59 (9): 2538-2548 (2012)