Application of Deep Learning to Ischemic and Hemorrhagic Stroke Computed Tomography and Magnetic Resonance Imaging.
Journal
Seminars in ultrasound, CT, and MR
ISSN: 1558-5034
Titre abrégé: Semin Ultrasound CT MR
Pays: United States
ID NLM: 8504689
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
entrez:
27
3
2022
pubmed:
28
3
2022
medline:
1
4
2022
Statut:
ppublish
Résumé
Deep Learning (DL) algorithm holds great potential in the field of stroke imaging. It has been applied not only to the "downstream" side such as lesion detection, treatment decision making, and outcome prediction, but also to the "upstream" side for generation and enhancement of stroke imaging. This paper aims to comprehensively overview the common applications of DL to stroke imaging. In the future, more standardized imaging datasets and more extensive studies are needed to establish and validate the role of DL in stroke imaging.
Identifiants
pubmed: 35339255
pii: S0887-2171(22)00016-6
doi: 10.1053/j.sult.2022.02.004
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
147-152Informations de copyright
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