Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network

In this paper, we demonstrate the feasibility and performance of deep residual neural networks for volumetric segmentation of irreversibly damaged brain tissue lesions on T1-weighted MRI scans for chronic stroke patients. A total of 239 T1-weighted MRI scans of chronic ischemic stroke patients from...

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Detalles Bibliográficos
Autores principales: Tomita, Naofumi, Jiang, Steven, Maeder, Matthew E., Hassanpour, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281812/
https://www.ncbi.nlm.nih.gov/pubmed/32512401
http://dx.doi.org/10.1016/j.nicl.2020.102276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281812/
https://www.ncbi.nlm.nih.gov/pubmed/32512401
http://dx.doi.org/10.1016/j.nicl.2020.102276

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