This paper shows results of computer analysis of images in the purpose of finding differences between medical images in order of their classifications in terms of separation malign tissue from a normal and benign tissue. The diagnostics of malign tissue is of the crucial importance in medicine. Therefore, ascertainment of the correlation between multifractals parameters and "chaotic" cells could be of the great appliance. This paper shows the application of multifractal analysis for additional help in cancer diagnosis, as well as diminishing. of the subjective factor and error probability
@article{arxiv.1810.02495,
title = {Medical Images Analysis in Cancer Diagnostic},
author = {Jelena Vasiljević and Ivica Milosavljević and Vladimir Krstić and Nataša Zivić and Lazar Berbakov and Luka Lopušina and Dhinaharan Nagamalai and Milutin Cerović},
journal= {arXiv preprint arXiv:1810.02495},
year = {2018}
}
Comments
11 pages, 6 figures, 11th International Conference on Security and its Applications (CNSA 2018), Zurich, Switzerland,