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Automated segmentation of multiple sclerosis lesion in intensity enhanced flair MRI using texture features and support vector machine.

, , and . ICIP, page 4277-4281. IEEE, (2013)

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Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field., , , , , , , and . Comput. Medical Imaging Graph., (2015)A white matter lesion load prediction model using retinal micro vascular features.. University of Melbourne, Australia, (2015)base-search.net (ftumelbourne:oai:minerva-access.unimelb.edu.au:11343/90873).A novel computer aided quantification method of focal arteriolar narrowing using colour retinal image., , , , and . Comput. Biol. Medicine, (2016)Automated Segmentation of White Matter Lesions Using Global Neighbourhood Given Contrast Feature-Based Random Forest and Markov Random Field., , , , , , , and . ICHI, page 1-6. IEEE Computer Society, (2014)An effective automated system for grading severity of retinal arteriovenous nicking in colour retinal images., , , and . EMBC, page 6324-6327. IEEE, (2014)Automated segmentation of multiple sclerosis lesion in intensity enhanced flair MRI using texture features and support vector machine., , and . ICIP, page 4277-4281. IEEE, (2013)A robust and reliable quantification method for Focal Arteriolar Narrowing in color retinal image., , , , and . ISBI, page 1510-1513. IEEE, (2015)