Deep Learning-Based Automatic Detection of ASPECTS in Acute Ischemic Stroke: Improving Stroke Assessment on CT Scans

Deep Learning-Based Automatic Detection of ASPECTS in Acute Ischemic Stroke: Improving Stroke Assessment on CT Scans

(1) Background: The Alberta Stroke Program Early CT Score (ASPECTS) is a standardized scoring tool used to evaluate the severity of acute ischemic stroke (AIS) on non-contrast CT (NCCT). Our aim in this study was to automate ASPECTS. (2) Methods: We utilized a total of 258 patient images with suspec...

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Bibliographic Details
Main Authors: Pi-Ling Chiang, Shih-Yen Lin, Meng-Hsiang Chen, Yueh-Sheng Chen, Cheng-Kang Wang, Min-Chen Wu, Yii-Ting Huang, Meng-Yang Lee, Yong-Sheng Chen, Wei-Che Lin
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Clinical Medicine
Subjects:
The Alberta stroke program early CT score
artificial intelligence
convolutional neural network
acute ischemic stroke
Online Access:https://www.mdpi.com/2077-0383/11/17/5159

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https://www.mdpi.com/2077-0383/11/17/5159

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