Brain and lesion segmentation in multiple sclerosis using fully-convolutional neural networks: A large-scale study

OBJECTIVE: To investigate the performance of deep learning (DL) based on fully convolutional neural network (FCNN) in segmenting brain tissues in a large cohort of multiple sclerosis (MS) patients. METHODS: We developed a FCNN model to segment brain tissues, including T2-hyperintense MS lesions. The...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:Mult Scler
Autores principales: Gabr, Refaat E., Coronado, Ivan, Robinson, Melvin, Sujit, Sheeba J., Datta, Sushmita, Sun, Xiaojun, Allen, William J., Lublin, Fred D., Wolinsky, Jerry S., Narayana, Ponnada A.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2019
Materias:
Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6908772/
https://ncbi.nlm.nih.gov/pubmed/31190607
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1352458519856843
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares