• DocumentCode
    1515054
  • Title

    Machine Learning in Medical Imaging

  • Author

    Wernick, Miles N. ; Yang, Yongyi ; Brankov, Jovan G. ; Yourganov, Grigori ; Strother, Stephen C.

  • Volume
    27
  • Issue
    4
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    25
  • Lastpage
    38
  • Abstract
    This article will discuss very different ways of using machine learning that may be less familiar, and we will demonstrate through examples the role of these concepts in medical imaging. Although the term machine learning is relatively recent, the ideas of machine learning have been applied to medical imaging for decades, perhaps most notably in the areas of computer-aided diagnosis (CAD) and functional brain mapping. We will not attempt in this brief article to survey the rich literature of this field. Instead our goals will be 1) to acquaint the reader with some modern techniques that are now staples of the machine-learning field and 2) to illustrate how these techniques can be employed in various ways in medical imaging.
  • Keywords
    learning (artificial intelligence); medical image processing; CAD; computer-aided diagnosis; functional brain mapping; machine learning; medical imaging; Biomedical imaging; Brain mapping; Cancer; Computer aided diagnosis; Content based retrieval; Image retrieval; Machine learning; Predictive models; Supervised learning; Support vector machines;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2010.936730
  • Filename
    5484160