Automated delineation of acute ischemic stroke lesions on non-contrast CT using 3D deep learning: A promising step towards efficient diagnosis and treatment-Reference-Cited by-同舟云学术

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Automated delineation of acute ischemic stroke lesions on non-contrast CT using 3D deep learning: A promising step towards efficient diagnosis and treatment

Published:2024-07 Issue: Volume:93 Page:106139
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Wei-Chun,Chien Shang-Yu,Tsai Sheng-Ta,Yang Yu-Wan,Nguyen Dang-Khoa,Wu Ya-Lun,Lu Ming-Kuei,Sun Ting-Hsuan,Yu Jiaxin,Lin Ching-Ting,Chen Chien-Wei,Hsu Kai-Cheng,Tsai Chon-Haw

Funder

Ministry of Science and Technology, Taiwan

National Science and Technology Council

China Medical University Hospital

China Medical University

Ministry of Science and Technology

Taiwan Ministry of Science and Technology

Publisher

Elsevier BV

Reference39 articles.

1. Katan, M. and A. Luft, Global burden of stroke. InSeminars in neurology 2018 38.

2. Heart disease and stroke statistics—2021 update: a report from the American Heart Association;Virani;Circulation,2021

3. Imaging selection for reperfusion therapy in acute ischemic stroke;Heit;Curr. Treat. Options Neurol.,2015

4. EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke;Kuang;Med. Image Anal.,2021

5. Z-score mapping method for extracting hypoattenuation areas of hyperacute stroke in unenhanced CT;Takahashi;Acad. Radiol.,2010

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