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Open Access

Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT

Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul Armitage, Emanuele Trucco, Joanna M Wardlaw, Amos Storkey
DOI: 10.1136/svn-2024-003372 Published 25 December 2024
Alessandro Fontanella
1The University of Edinburgh School of Informatics, Edinburgh, UK
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Wenwen Li
2The University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
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Grant Mair
2The University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
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Antreas Antoniou
1The University of Edinburgh School of Informatics, Edinburgh, UK
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Eleanor Platt
1The University of Edinburgh School of Informatics, Edinburgh, UK
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Paul Armitage
3The University of Sheffield School of Medicine and Biomedical Sciences, Sheffield, Sheffield, UK
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Emanuele Trucco
4University of Dundee School of Science and Engineering, Dundee, UK
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Joanna M Wardlaw
2The University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
5UK Dementia Research Institute, Edinburgh, UK
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Amos Storkey
1The University of Edinburgh School of Informatics, Edinburgh, UK
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Article Information

DOI 
https://doi.org/10.1136/svn-2024-003372
PubMed 
39572171

Print ISSN 
2059-8688
Online ISSN 
2059-8696
History 
  • Received May 4, 2024
  • Accepted November 2, 2024
  • Published online December 25, 2024.

Article Versions

  • Previous version (November 20, 2024 - 21:01).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

Author Information

  1. Alessandro Fontanella1,
  2. Wenwen Li2,
  3. Grant Mair2,
  4. Antreas Antoniou1,
  5. Eleanor Platt1,
  6. Paul Armitage3,
  7. Emanuele Trucco4,
  8. Joanna M Wardlaw2,5,
  9. Amos Storkey1
  1. 1The University of Edinburgh School of Informatics, Edinburgh, UK
  2. 2The University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
  3. 3The University of Sheffield School of Medicine and Biomedical Sciences, Sheffield, Sheffield, UK
  4. 4University of Dundee School of Science and Engineering, Dundee, UK
  5. 5UK Dementia Research Institute, Edinburgh, UK
  1. Correspondence to Alessandro Fontanella; A.Fontanella{at}sms.ed.ac.uk
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT
Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul Armitage, Emanuele Trucco, Joanna M Wardlaw, Amos Storkey
Stroke and Vascular Neurology Nov 2024, svn-2024-003372; DOI: 10.1136/svn-2024-003372

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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT
Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul Armitage, Emanuele Trucco, Joanna M Wardlaw, Amos Storkey
Stroke and Vascular Neurology Nov 2024, svn-2024-003372; DOI: 10.1136/svn-2024-003372
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT
Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul Armitage, Emanuele Trucco, Joanna M Wardlaw, Amos Storkey
Stroke and Vascular Neurology Nov 2024, svn-2024-003372; DOI: 10.1136/svn-2024-003372
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