Deep Learning-Enabled Clinically Applicable CT Planbox for Stroke With High Accuracy and Repeatability

Deep Learning-Enabled Clinically Applicable CT Planbox for Stroke With High Accuracy and Repeatability

BackgroundComputed tomography (CT) plays an essential role in classifying stroke, quantifying penumbra size and supporting stroke-relevant radiomics studies. However, it is difficult to acquire standard, accurate and repeatable images during follow-up. Therefore, we invented an intelligent CT to eva...

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Bibliographic Details
Main Authors: Yang Wang, Junkai Zhu, Jinli Zhao, Wenyi Li, Xin Zhang, Xiaolin Meng, Taige Chen, Ming Li, Meiping Ye, Renfang Hu, Shidan Dou, Huayin Hao, Xiaofen Zhao, Xiaoming Wu, Wei Hu, Cheng Li, Xiaole Fan, Liyun Jiang, Xiaofan Lu, Fangrong Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neurology
Subjects:
stroke
deep learning
computed tomography
automatic cranial scanning
accurate and repeatable images
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.755492/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.755492/full

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