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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Bibliographic Details
Main Authors: Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage
Format: Article
Language:English
Published: BMJ Publishing Group
Series:Stroke and Vascular Neurology
Online Access:https://svn.bmj.com/content/early/2024/11/20/svn-2024-003372.full