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Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke
In order to evaluate the importance of deep learning techniques in stroke diseases, this paper systematically reviews the relevant literature. Deep learning techniques have a significant impact on the diagnosis, treatment, and prediction of stroke. In addition, this study also discusses the current...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370809/ https://www.ncbi.nlm.nih.gov/pubmed/34414235 http://dx.doi.org/10.1155/2021/5213550 |
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author | Zhang, Siqi Zhang, Miao Ma, Shuai Wang, Qingyong Qu, Youyang Sun, Zhongren Yang, Tiansong |
author_facet | Zhang, Siqi Zhang, Miao Ma, Shuai Wang, Qingyong Qu, Youyang Sun, Zhongren Yang, Tiansong |
author_sort | Zhang, Siqi |
collection | PubMed |
description | In order to evaluate the importance of deep learning techniques in stroke diseases, this paper systematically reviews the relevant literature. Deep learning techniques have a significant impact on the diagnosis, treatment, and prediction of stroke. In addition, this study also discusses the current bottlenecks and the future development prospects of deep learning technology. |
format | Online Article Text |
id | pubmed-8370809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-83708092021-08-18 Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke Zhang, Siqi Zhang, Miao Ma, Shuai Wang, Qingyong Qu, Youyang Sun, Zhongren Yang, Tiansong Biomed Res Int Review Article In order to evaluate the importance of deep learning techniques in stroke diseases, this paper systematically reviews the relevant literature. Deep learning techniques have a significant impact on the diagnosis, treatment, and prediction of stroke. In addition, this study also discusses the current bottlenecks and the future development prospects of deep learning technology. Hindawi 2021-08-09 /pmc/articles/PMC8370809/ /pubmed/34414235 http://dx.doi.org/10.1155/2021/5213550 Text en Copyright © 2021 Siqi Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Zhang, Siqi Zhang, Miao Ma, Shuai Wang, Qingyong Qu, Youyang Sun, Zhongren Yang, Tiansong Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke |
title | Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke |
title_full | Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke |
title_fullStr | Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke |
title_full_unstemmed | Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke |
title_short | Research Progress of Deep Learning in the Diagnosis and Prevention of Stroke |
title_sort | research progress of deep learning in the diagnosis and prevention of stroke |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370809/ https://www.ncbi.nlm.nih.gov/pubmed/34414235 http://dx.doi.org/10.1155/2021/5213550 |
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