Cargando…

Longitudinal multiple sclerosis lesion segmentation data resource

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 scl...

Descripción completa

Detalles Bibliográficos
Autores principales: Carass, Aaron, Roy, Snehashis, Jog, Amod, Cuzzocreo, Jennifer L., Magrath, Elizabeth, Gherman, Adrian, Button, Julia, Nguyen, James, Bazin, Pierre-Louis, Calabresi, Peter A., Crainiceanu, Ciprian M., Ellingsen, Lotta M., Reich, Daniel S., Prince, Jerry L., Pham, Dzung L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5412004/
https://www.ncbi.nlm.nih.gov/pubmed/28491937
http://dx.doi.org/10.1016/j.dib.2017.04.004
Descripción
Sumario: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.