Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage
Author:
Affiliation:
1. Department of Critical Care Medicine, Yongchuan Hospital, Chongqing Medical University, Yongchuan, Chongqing 402160, China
2. Chongqing Medical University, Department of Neurosurgery, Yongchuan, Chongqing 402160, China
Abstract
Publisher
Hindawi Limited
Subject
Health Informatics,Biomedical Engineering,Surgery,Biotechnology
Link
http://downloads.hindawi.com/journals/jhe/2021/9639419.pdf
Reference29 articles.
1. Risk Factors for Subarachnoid Hemorrhage
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3. Magnesium sulfate therapy after aneurysmal subarachnoid hemorrhage
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5. Report on the Cooperative Study of Intracranial Aneurysms and Subarachnoid Hemorrhage SECTION VII PART 2
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2. Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet;NeuroImage;2023-10
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5. Automated Quantification of Compartmental Blood Volumes Enables Prediction of Delayed Cerebral Ischemia and Outcomes After Aneurysmal Subarachnoid Hemorrhage;World Neurosurgery;2023-02
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