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Longitudinal multiple sclerosis lesion segmentation data resource
- 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