An effective method for computerized prediction and segmentation of multiple sclerosis lesions in brain MRI-Reference-Cited by-同舟云学术

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An effective method for computerized prediction and segmentation of multiple sclerosis lesions in brain MRI

Published:2017-03 Issue: Volume:140 Page:307-320
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Roy Sudipta,Bhattacharyya Debnath,Bandyopadhyay Samir Kumar,Kim Tai-Hoon

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference25 articles.

1. Automated MRI brain tissue segmentation based on mean shift and fuzzy c-means using a priori tissue probability maps;Mahmood,2015

2. Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field;Roy;Comput. Med. Imaging Graphics,2015

3. http://www.msif.org/about-ms/what-is-ms/ [Online], 30-Octobar-15.

4. Segmentation of multiple sclerosis lesions in MRI images: a review;Mortazavi;Neurology,2011

5. MRI measures of neuroprotection and repair in multiple sclerosis;Inglese;J. Neurol. Sci.,2016

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