Fractal analysis for cancer research: case study and simulation of fractals

Milan Stehlik, F. Wartner, M. Minarova

Research output: Contribution to journalArticlepeer-review

Abstract

This paper discusses the possibilities of application of fractal geometry for cancer research. Fractal geometry is a new tool that can be extremely useful for many problems in almost every scientific field. The studies recently done in medicine show fractals can be applied for cancer detection and the description of pathological architecture of tumors. This fact is not surprising, as due to the irregular structure, cancerous cells can be interpreted as fractals. Cancer diagnosis can be done via determination of fractal dimension. A likelihood ratio test for the Hausdorff dimension is employed in [7]. We empirically checked the obtained tests on Sierpinski Carpet and on cancer data. However, several issues arisen, especially those related to simulation of fractals which may mimic tissues. These are discussed in the present paper.
Original languageEnglish
Pages (from-to)195–206
Number of pages12
JournalPLISKA - Studia Mathematica Bulgarica
Volume22
Publication statusPublished - 2013

Fields of science

  • 101029 Mathematical statistics
  • 101024 Probability theory
  • 102009 Computer simulation
  • 101026 Time series analysis
  • 101018 Statistics
  • 101 Mathematics
  • 103 Physics, Astronomy
  • 105 Geosciences
  • 305 Other Human Medicine, Health Sciences
  • 504 Sociology
  • 106 Biology
  • 502 Economics
  • 509 Other Social Sciences

JKU Focus areas

  • Computation in Informatics and Mathematics

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