Automatic Assessment of ASPECTS Using Diffusion-Weighted Imaging in Acute Ischemic Stroke Using Recurrent Residual Convolutional Neural Network

The early detection and rapid quantification of acute ischemic lesions play pivotal roles in stroke management. We developed a deep learning algorithm for the automatic binary classification of the Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) using diffusion-weighted imaging (DW...

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Detalles Bibliográficos
Autores principales: Do, Luu-Ngoc, Baek, Byung Hyun, Kim, Seul Kee, Yang, Hyung-Jeong, Park, Ilwoo, Yoon, Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601116/
https://www.ncbi.nlm.nih.gov/pubmed/33050251
http://dx.doi.org/10.3390/diagnostics10100803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601116/
https://www.ncbi.nlm.nih.gov/pubmed/33050251
http://dx.doi.org/10.3390/diagnostics10100803

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