Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT
Background CT is commonly used to image patients with ischaemic stroke but radiologist interpretation may be delayed. Machine learning techniques can provide rapid automated CT assessment but are usually developed from annotated images which necessarily limits the size and representation of developm...
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| Main Authors: | Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
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| Series: | Stroke and Vascular Neurology |
| Online Access: | https://svn.bmj.com/content/early/2024/11/20/svn-2024-003372.full |
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