Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion.

Hokkinen, Lasse; Mäkelä, Teemu; Savolainen, Sauli; Kangasniemi, Marko

Hokkinen, Lasse; Mäkelä, Teemu; Savolainen, Sauli; Kangasniemi, Marko.

Affiliation

Hokkinen L; HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Mäkelä T; HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Savolainen S; Department of Physics, University of Helsinki, Helsinki, Finland.
Kangasniemi M; HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Acta Radiol Open ; 10(11): 20584601211060347, 2021 Nov.

Article in En | MEDLINE | ID: mdl-34868662

Key words

CT angiography; convolutional neural network; deep learning; machine learning; stroke

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Acta Radiol Open Year: 2021 Document type: Article Affiliation country: Finland Country of publication: United kingdom

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