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Review
Review of deep learning algorithms for the automatic detection of intracranial hemorrhages on computed tomography head imaging

Authors

  • Melissa Yeo Melbourne Medical School, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Bahman Tahayori Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia IBM Research Australia, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Hong Kuan Kok Department of Radiology, Northern Health, Epping, Victoria, Australia School of Medicine, Deakin University Faculty of Health, Burwood, Victoria, Australia PubMed articlesGoogle scholar articles
  • Julian Maingard School of Medicine, Deakin University Faculty of Health, Burwood, Victoria, Australia Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  • Numan Kutaiba Department of Radiology, Austin Health, Heidelberg, Victoria, Australia PubMed articlesGoogle scholar articles
  • Jeremy Russell Department of Neurosurgery, Austin Health, Heidelberg, Victoria, Australia PubMed articlesGoogle scholar articles
  • Vincent Thijs Stroke Theme, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia Department of Neurology, Austin Health, Heidelberg, Victoria, Australia PubMed articlesGoogle scholar articles
  • Ashu Jhamb Department of Radiology, St Vincent's Hospital Melbourne Pty Ltd, Fitzroy, Victoria, Australia PubMed articlesGoogle scholar articles
  • Ronil V Chandra Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  • Mark Brooks Stroke Theme, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia Interventional Neuroradiology Service, Austin Health, Heidelberg, Victoria, Australia PubMed articlesGoogle scholar articles
  • Christen D. Barras School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia PubMed articlesGoogle scholar articles
  • Hamed Asadi Stroke Theme, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  1. Correspondence to Melissa Yeo, Melbourne Medical School, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, VIC 3010, Australia; melissayeoxw{at}gmail.com
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Citation

Yeo M, Tahayori B, Kok HK, et al
Review of deep learning algorithms for the automatic detection of intracranial hemorrhages on computed tomography head imaging
Journal of NeuroInterventional Surgery 2021;13:369-378.

Publication history

  • Received November 11, 2020
  • Revised December 5, 2020
  • Accepted December 9, 2020
  • First published January 21, 2021.
Online issue publication 
March 15, 2021

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© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.