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
Wenwen Li
2The University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
Grant Mair
2The University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
Antreas Antoniou
1The University of Edinburgh School of Informatics, Edinburgh, UK
Eleanor Platt
1The University of Edinburgh School of Informatics, Edinburgh, UK
Paul Armitage
3The University of Sheffield School of Medicine and Biomedical Sciences, Sheffield, Sheffield, UK
Emanuele Trucco
4University of Dundee School of Science and Engineering, Dundee, UK
Joanna M Wardlaw
2The University of Edinburgh Centre for Clinical Brain Sciences, Edinburgh, UK
5UK Dementia Research Institute, Edinburgh, UK
Amos Storkey
1The University of Edinburgh School of Informatics, Edinburgh, 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

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
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