review·Radiographics·Nov 1, 2017Closed access

Deep Learning: A Primer for Radiologists

GCGabriel ChartrandCorresponding authorPMPhillip M. ChengEVEugene VorontsovMDMichal DrozdzalSTSimon Turcotte

Centre Hospitalier de l’Université de Montréal · Hôpital Saint-Luc · +3 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

RSNA, 2017.

Citation impact

1,094
total citations
FWCI
61.18
Percentile
100%
References
32
Citations per year

Authors

8
  • GC
    Gabriel ChartrandCorresponding

    Centre Hospitalier de l’Université de Montréal, Hôpital Saint-Luc, Polytechnique Montréal

  • PM
    Phillip M. Cheng

    University of Southern California, Hôpital Saint-Luc, Polytechnique Montréal

  • EV
    Eugene Vorontsov

    Centre Hospitalier de l’Université de Montréal, Hôpital Saint-Luc, Polytechnique Montréal

  • MD
    Michal Drozdzal

    Hôpital Saint-Luc, Polytechnique Montréal

  • ST
    Simon Turcotte

    Centre Hospitalier de l’Université de Montréal, Hôpital Saint-Luc, Polytechnique Montréal, Université de Montréal

Topics & keywords

Topics
  • Primary topicAI in cancer detection99%
  • Radiomics and Machine Learning in Medical Imaging99%
  • COVID-19 diagnosis using AI99%
Keywords
  • Medicine
  • Primer (cosmetics)
  • Medical physics
  • Deep learning
  • Artificial intelligence
  • Radiology
UN Sustainable Development Goals
  • Quality Education
No related works found for this paper.

Funding

  • M
    Mitacs
    Award: IT05356