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Longitudinal multiple sclerosis lesion segmentation data resource

Authors :
Aaron Carass
Snehashis Roy
Amod Jog
Jennifer L. Cuzzocreo
Elizabeth Magrath
Adrian Gherman
Julia Button
James Nguyen
Pierre-Louis Bazin
Peter A. Calabresi
Ciprian M. Crainiceanu
Lotta M. Ellingsen
Daniel S. Reich
Jerry L. Prince
Dzung L. Pham
Source :
Data in Brief, Vol 12, Iss C, Pp 346-350 (2017)
Publication Year :
2017
Publisher :
Elsevier, 2017.

Abstract

The data presented in this article is related to the research article entitled “Longitudinal multiple sclerosis lesion segmentation: Resource and challenge” (Carass et al., 2017) [1]. In conjunction with the 2015 International Symposium on Biomedical Imaging, we organized a longitudinal multiple sclerosis (MS) lesion segmentation challenge providing training and test data to registered participants. The training data consists of five subjects with a mean of 4.4 (±0.55) time-points, and test data of fourteen subjects with a mean of 4.4 (±0.67) time-points. All 82 data sets had the white matter lesions associated with multiple sclerosis delineated by two human expert raters. The training data including multi-modal scans and manually delineated lesion masks is available for download. In addition, the testing data is also being made available in conjunction with a website for evaluating the automated analysis of the testing data.

Details

Language :
English
ISSN :
23523409
Volume :
12
Issue :
C
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.398942aad7ae471c8c1fc1e50cf250e1
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2017.04.004