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Open Access

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 24 December 2021
Jia-wei Zhong
1 Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Yu-jia Jin
1 Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Zai-jun Song
1 Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Bo Lin
2 College of Computer Science and Technology, Zhejiang University, Hangzhou, China
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Xiao-hui Lu
3 State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University School of Mechanical Engineering, Hangzhou, China
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Fang Chen
4 Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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Lu-sha Tong
1 Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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Article Information

vol. 6 no. 4 610-614
DOI 
https://doi.org/10.1136/svn-2020-000647
PubMed 
33526630

Print ISSN 
2059-8688
Online ISSN 
2059-8696
History 
  • Received September 26, 2020
  • Revised November 8, 2020
  • Accepted November 25, 2020
  • Published online December 24, 2021.

Article Versions

  • Previous version (February 1, 2021 - 08:42).
  • Previous version (April 26, 2021 - 05:18).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

Author Information

  1. Jia-wei Zhong1,
  2. Yu-jia Jin1,
  3. Zai-jun Song1,
  4. Bo Lin2,
  5. Xiao-hui Lu3,
  6. Fang Chen4,
  7. Lu-sha Tong1
  1. 1 Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
  2. 2 College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  3. 3 State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University School of Mechanical Engineering, Hangzhou, China
  4. 4 Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
  1. Correspondence to Dr Lu-sha Tong; 2310040{at}zju.edu.cn; Dr Fang Chen; chenfang{at}nuaa.edu.cn
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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 Dec 2021, 6 (4) 610-614; 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 Dec 2021, 6 (4) 610-614; 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 Dec 2021, 6 (4) 610-614; DOI: 10.1136/svn-2020-000647
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