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Fractal dimensionality analysis of normal and cancerous mammary gland thermograms

Author

Listed:
  • Dumansky, Y.V.
  • Lyakh, Y.E.
  • Gorshkov, O.G.
  • Gurianov, V.G.
  • Prihodchenko, V.V.

Abstract

Thermography may enable early detection of a cancer tumour within a mammary gland at an early, treatable stage of the illness, but thermogram analysis methods must be developed to achieve this goal. This study analyses the feasibility of applying the Hurst exponent readings algorithm for evaluation of the high dimensionality fractals to reveal any possible difference between normal thermograms (NT) and malignant thermograms (MT). Thermograms were obtained using electronic contact thermography. Significant differences in the Hurst exponent readings for the MT and the NT were observed when comparing the following:

Suggested Citation

  • Dumansky, Y.V. & Lyakh, Y.E. & Gorshkov, O.G. & Gurianov, V.G. & Prihodchenko, V.V., 2012. "Fractal dimensionality analysis of normal and cancerous mammary gland thermograms," Chaos, Solitons & Fractals, Elsevier, vol. 45(12), pages 1494-1500.
    • Handle: RePEc:eee:chsofr:v:45:y:2012:i:12:p:1494-1500
    DOI: 10.1016/j.chaos.2012.07.006
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    References listed on IDEAS

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    1. Carbone, Anna & Stanley, H.Eugene, 2004. "Directed self-organized critical patterns emerging from fractional Brownian paths," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 340(4), pages 544-551.
    2. Carbone, Anna & Stanley, H. Eugene, 2007. "Scaling properties and entropy of long-range correlated time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(1), pages 21-24.
    3. Gao-Feng Gu & Wei-Xing Zhou, 2010. "Detrending moving average algorithm for multifractals," Papers 1005.0877, arXiv.org, revised Jun 2010.
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