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  Longitudinal multiple sclerosis lesion segmentation data resource

Carass, A., Roy, S., Jog, A., Cuzzocreo, J. L., Magrath, E., Gherman, A., et al. (2017). Longitudinal multiple sclerosis lesion segmentation data resource. Data in Brief, 12, 346-350. doi:10.1016/j.dib.2017.04.004.

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Genre: Zeitschriftenartikel

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externe Referenz:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344762/ (beliebiger Volltext)
Beschreibung:
-
OA-Status:
Grün

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 Urheber:
Carass, Aaron1, 2, Autor
Roy, Snehashis3, Autor
Jog, Amod2, Autor
Cuzzocreo, Jennifer L.4, Autor
Magrath, Elizabeth3, Autor
Gherman, Adrian5, Autor
Button, Julia4, Autor
Nguyen, James4, Autor
Bazin, Pierre-Louis6, Autor           
Calabresi, Peter A.4, Autor
Crainiceanu, Ciprian M.5, Autor
Ellingsen, Lotta M.1, 7, Autor
Reich, Daniel S.4, 8, Autor
Prince, Jerry L.1, 2, Autor
Pham, Dzung L.3, Autor
Affiliations:
1Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA, ou_persistent22              
2Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA, ou_persistent22              
3Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation for Advancement of Military Medicine, Bethesda, MD, USA, ou_persistent22              
4Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA, ou_persistent22              
5Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA, ou_persistent22              
6Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
7Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland, ou_persistent22              
8Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA, ou_persistent22              

Inhalt

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Schlagwörter: Magnetic resonance imaging; Multiple sclerosis
 Zusammenfassung: 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.1 In addition, the testing data is also being made available in conjunction with a website for evaluating the automated analysis of the testing data.

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Sprache(n): eng - English
 Datum: 2017-02-012017-01-062017-04-042017-04-08
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.dib.2017.04.004
PMID: 28491937
 Art des Abschluß: -

Veranstaltung

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Projektinformation

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Projektname : -
Grant ID : R01-NS070906
Förderprogramm : -
Förderorganisation : National Institutes of Health (NIH)
Projektname : -
Grant ID : -
Förderprogramm : Intramural Research Program
Förderorganisation : National Institute of Neurological Disorders and Stroke (NINDS)
Projektname : -
Grant ID : RG-1507-05243
Förderprogramm : National MS Society Grant
Förderorganisation : National MS Society

Quelle 1

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Titel: Data in Brief
  Kurztitel : Data Brief
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Dordrecht : Elsevier
Seiten: - Band / Heft: 12 Artikelnummer: - Start- / Endseite: 346 - 350 Identifikator: ISSN: 2352-3409
CoNE: https://pure.mpg.de/cone/journals/resource/2352-3409