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Deep learning for automatically predicting early haematoma expansion in Chinese patients

Jia-wei Zhong, Yu-jia Jin, Zai-jun Song, Bo Lin, Xiao-hui Lu, Fang Chen, Lu-sha Tong
DOI: 10.1136/svn-2020-000647 Published 1 February 2021
Jia-wei Zhong
1Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Yu-jia Jin
1Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Zai-jun Song
1Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Bo Lin
2College of Computer Science and Technology, Zhejiang University, Hangzhou, China
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Xiao-hui Lu
3State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University School of Mechanical Engineering, Hangzhou, China
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Fang Chen
4Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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Lu-sha Tong
1Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Stroke and Vascular Neurology: 10 (1)
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Deep learning for automatically predicting early haematoma expansion in Chinese patients
Jia-wei Zhong, Yu-jia Jin, Zai-jun Song, Bo Lin, Xiao-hui Lu, Fang Chen, Lu-sha Tong
Stroke and Vascular Neurology Feb 2021, svn-2020-000647; DOI: 10.1136/svn-2020-000647

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Deep learning for automatically predicting early haematoma expansion in Chinese patients
Jia-wei Zhong, Yu-jia Jin, Zai-jun Song, Bo Lin, Xiao-hui Lu, Fang Chen, Lu-sha Tong
Stroke and Vascular Neurology Feb 2021, svn-2020-000647; DOI: 10.1136/svn-2020-000647
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Deep learning for automatically predicting early haematoma expansion in Chinese patients
Jia-wei Zhong, Yu-jia Jin, Zai-jun Song, Bo Lin, Xiao-hui Lu, Fang Chen, Lu-sha Tong
Stroke and Vascular Neurology Feb 2021, svn-2020-000647; DOI: 10.1136/svn-2020-000647
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