KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Thermal Infrared Image Analysis for Breast Cancer Detection

  • Min, Sedong (Medical Information Communication Technology, Soonchunhyang University) ;
  • Heo, Jiyoung (Department of ICT Convergence Rehabilitation Engineering, Soonchunhyang University) ;
  • Kong, Youngsun (Department of Computer Science and Engineering, Soonchunhyang University) ;
  • Nam, Yunyoung (Department of Computer Science and Engineering, Soonchunhyang University) ;
  • Ley, Preap (Sihanouk Hospital Center of HOPE) ;
  • Jung, Bong-Keun (Department of Occupational Therapy, College of Medical Science, Soonchunhyang University) ;
  • Oh, Dongik (Medical Information Communication Technology, Soonchunhyang University) ;
  • Shin, Wonhan (Department of Neurosurgery, Soonchunhyang University Hospital)
  • Received : 2016.09.06
  • Accepted : 2016.12.03
  • Published : 2017.02.28
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Abstract

With the rise in popularity of photographic and video cameras, an increasing number of fields are now using thermal imaging cameras. One such application is in the diagnosis of breast cancer, as thermal imaging provides a low-cost and noninvasive method. Thermal imaging is particularly safe for pregnant women, and those with large, dense, or sensitive breasts. In addition, excessive doses of radiation, which may be used in traditional methods of breast cancer detection, can increase the risk of cancer. This paper presents one method of breast cancer detection. Breast images were taken using a thermal camera, with preliminary experiments conducted on Cambodian women. Then the experimental results were analyzed and compared using Shannon entropy and logistic regression.

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