Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI.

Christiansen, Spencer D; Liu, Junmin; Bullrich, Maria Bres; Sharma, Manas; Boulton, Melfort; Pandey, Sachin K; Sposato, Luciano A; Drangova, Maria

Christiansen, Spencer D; Liu, Junmin; Bullrich, Maria Bres; Sharma, Manas; Boulton, Melfort; Pandey, Sachin K; Sposato, Luciano A; Drangova, Maria.

Afiliação

Christiansen SD; Robarts Research Institute, Western University, London, Ontario, Canada.
Liu J; Department of Medical Biophysics, Schulich School of Medicine & Dentistry, 6221Western University, London, Ontario, Canada.
Bullrich MB; Robarts Research Institute, Western University, London, Ontario, Canada.
Sharma M; Department of Clinical Neurological Sciences, 6221Western University, London, Ontario, Canada.
Boulton M; Department of Medical Imaging, 6221Western University, London, Ontario, Canada.
Pandey SK; Department of Clinical Neurological Sciences, 6221Western University, London, Ontario, Canada.
Sposato LA; Department of Medical Imaging, 6221Western University, London, Ontario, Canada.
Drangova M; Department of Clinical Neurological Sciences, 6221Western University, London, Ontario, Canada.

Interv Neuroradiol ; : 15910199221140962, 2022 Nov 28.

Article em En | MEDLINE | ID: mdl-36437762

Palavras-chave

Ischemic stroke; MRI; RBC; deep learning; machine learning; thrombus imaging

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Interv Neuroradiol Assunto da revista: NEUROLOGIA / RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

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