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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...
Autores principales: | Do, Luu-Ngoc, Baek, Byung Hyun, Kim, Seul Kee, Yang, Hyung-Jeong, Park, Ilwoo, Yoon, Woong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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