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Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2018  >  9(1): 10-14
Li-ming XIA, Jian SHEN, Rong-guo ZHANG, Shao-kang WANG, Kuan CHEN. Application of Deep Learning in Medical Imaging Research[J]. Medical Journal of Peking Union Medical College Hospital, 2018, 9(1): 10-14. doi: 10.3969/j.issn.1674-9081.2018.01.003
Citation: Li-ming XIA, Jian SHEN, Rong-guo ZHANG, Shao-kang WANG, Kuan CHEN. Application of Deep Learning in Medical Imaging Research[J]. Medical Journal of Peking Union Medical College Hospital, 2018, 9(1): 10-14. doi: 10.3969/j.issn.1674-9081.2018.01.003
shu

Application of Deep Learning in Medical Imaging Research

doi: 10.3969/j.issn.1674-9081.2018.01.003
  • 1.

    Department of Radiology, Tongji Hospital, Tongji Medical College of HUST, Wuhan 430040, China

  • 2.

    Infervision Inc., Beijing 100025, China

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  • Corresponding author: SHEN Jian Tel:010-85795622, E-mail:contact@infervision.com
  • Received Date: 2017-10-11
  • Publish Date: 2018-01-30
    Abstract
  • Deep learning, as the most popular research field in artificial intelligence, has been developing rapidly in recent years and become the focus of global attention. Deep learning has demonstrated a powerful role in many application areas. In some visual and auditory recognition tasks, deep learning even shows better performance than human beings. In medical domain, deep learning has become the top choice for researchers to analyze big data, especially medical imaging. This review briefly introduces the history and development of deep learning, and elaborates on the progress of research on deep learning in medical imaging by reviewing the latest and most influential research results. In addition, this paper briefly discusses application of deep learning in medical imaging analysis, as well as the future prospect and challenges of deep learning.
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