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A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling., , , and . Australasian Conference on Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, page 280-290. Springer, (2009)An effective automated system for grading severity of retinal arteriovenous nicking in colour retinal images., , , and . EMBC, page 6324-6327. IEEE, (2014)An effective retinal blood vessel segmentation method using multi-scale line detection., , , and . Pattern Recognit., 46 (3): 703-715 (2013)Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study., , , , , and . ICIP, page 616-620. IEEE, (2013)An Effective Supervised Framework for Retinal Blood Vessel Segmentation Using Local Standardisation and Bagging., , , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 117-125. Springer, (2011)iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment., , , , and . PAKDD (1), volume 6118 of Lecture Notes in Computer Science, page 16-27. Springer, (2010)An Automated Method for Retinal Arteriovenous Nicking Quantification From Color Fundus Images., , , , , , , and . IEEE Trans. Biomed. Eng., 60 (11): 3194-3203 (2013)Automated quantification of retinal arteriovenous nicking from colour fundus images., , , , , , , and . EMBC, page 5865-5868. IEEE, (2013)