MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?-Reference-Cited by-同舟云学术

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MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?

Published:2017 Issue: Volume:13 Page:264-270
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Egger Christine,Opfer Roland,Wang Chenyu,Kepp Timo,Sormani Maria Pia,Spies Lothar,Barnett Michael,Schippling Sven

Funder

University of Zurich

Swiss Multiple Sclerosis Society

Betty and David Koetser Foundation for Brain Research

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference26 articles.

1. Hypointense and hyperintense lesions on magnetic resonance imaging in secondary-progressive MS patients;Adams;Eur. Neurol.,1999

2. Accuracy and reproducibility of manual and semiautomated quantification of MS lesions by MRI;Ashton;J. Magn. Reson. Imaging,2003

3. Automated identification of brain new lesions in multiple sclerosis using subtraction images;Battaglini;J. Magn. Reson. Imaging,2014

4. Multiple sclerosis;Compston;Lancet,2008

5. Measures of the amount of ecologic association between species;Dice;Ecology,1945

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