| Issue |
MATEC Web Conf.
Volume 76, 2016
20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 8 | |
| Section | Signal Processing | |
| DOI | https://doi.org/10.1051/matecconf/20167605002 | |
| Published online | 21 October 2016 | |
Is the Fractal Dimension of the Contour-lines a Reliable Tool for Classification of Medical Images?
1 University of Information Science and Technology “St. Paul the Apostle” Partizanska bb, 6000 Ohrid, Macedonia
2 General City Hospital “8-mi Septemvri”, Dermatology Department, Pariska bb, 1000 Skopje, Macedonia
a Elena Hadzieva: elena.hadzieva@uist.edu.mk
When two-dimensional medical images are subject to fractal analysis, one of the methods used is to detect the contour of objects in the binary images and later to estimate the fractal dimension of the extracted contour. This scalar characteristic of the medical image should help in discrimination between normal and abnormal tissues. In this paper we expose the factors that affect the reliability of such examinations and put the fractal dimension in question as a valid criterion for description, classification and recognition in medical diagnosing.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.