OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI()

Magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. In practice, lesion load is often quantified by either manual or semi-automated segmentation of MRI, which is t...

Descripción completa

Detalles Bibliográficos
Autores principales: Sweeney, Elizabeth M., Shinohara, Russell T., Shiee, Navid, Mateen, Farrah J., Chudgar, Avni A., Cuzzocreo, Jennifer L., Calabresi, Peter A., Pham, Dzung L., Reich, Daniel S., Crainiceanu, Ciprian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777691/
https://www.ncbi.nlm.nih.gov/pubmed/24179794
http://dx.doi.org/10.1016/j.nicl.2013.03.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777691/
https://www.ncbi.nlm.nih.gov/pubmed/24179794
http://dx.doi.org/10.1016/j.nicl.2013.03.002

Ejemplares similares