Cargando…
Brain MRI dataset of multiple sclerosis with consensus manual lesion segmentation and patient meta information
Magnetic resonance imaging (MRI) provides a significant key to diagnose and monitor the progression of multiple sclerosis (MS) disease. Manual MS-lesion segmentation, expanded disability status scale (EDSS) and patient's meta information can provide a gold standard for research in terms of auto...
Autores principales: | Muslim, Ali M., Mashohor, Syamsiah, Gawwam, Gheyath Al, Mahmud, Rozi, Hanafi, Marsyita binti, Alnuaimi, Osama, Josephine, Raad, Almutairi, Abdullah Dhaifallah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043670/ https://www.ncbi.nlm.nih.gov/pubmed/35496484 http://dx.doi.org/10.1016/j.dib.2022.108139 |
Ejemplares similares
-
Histopathology imagery dataset of Ph-negative myeloproliferative neoplasm
por: Mohamad Yusof, Umi Kalsom, et al.
Publicado: (2023) -
Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring
por: Moghbel, Mehrdad, et al.
Publicado: (2016) -
Automatic liver segmentation on Computed Tomography using random walkers for treatment planning
por: Moghbel, Mehrdad, et al.
Publicado: (2016) -
Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of alzheimer's disease
por: Farzan, Ali, et al.
Publicado: (2011) -
Bibliographic dataset of literature for analysing global trends and progress of the machine learning paradigm in space weather research
por: K.A., Nur Dalila, et al.
Publicado: (2023)