A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images

Automatic identification of brain lesions from magnetic resonance imaging (MRI) scans of stroke survivors would be a useful aid in patient diagnosis and treatment planning. It would also greatly facilitate the study of brain-behavior relationships by eliminating the laborious step of having a human...

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Detalles Bibliográficos
Autores principales: Xue, Yunzhe, Farhat, Fadi G., Boukrina, Olga, Barrett, A.M., Binder, Jeffrey R., Roshan, Usman W., Graves, William W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931186/
https://www.ncbi.nlm.nih.gov/pubmed/31865021
http://dx.doi.org/10.1016/j.nicl.2019.102118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931186/
https://www.ncbi.nlm.nih.gov/pubmed/31865021
http://dx.doi.org/10.1016/j.nicl.2019.102118

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