Publication detail

Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms

ZÁVIŠEK, M. DRASTICH, A.

Original Title

Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms

Type

conference paper

Language

English

Original Abstract

Advances in camera technologies and reduced equipment costs have lead to an increased interest in the application of thermography in the medical fields. Thermography is of particular interest for detection of breast cancer as it has been shown that it is capable of detecting the cancer earlier and is also allows diagnosis of fatty breast tissue. In this paper we perform breast cancer detection based on thermography, using a series of statistical features extracted from the thermograms coupled with a fuzzy rule-based classification system for diagnosis. The features stem from a comparison of left and right breast areas and quantify the bilateral differences encountered. Following this asymmetry analysis the features are fed to a fuzzy classification system. This classifier is used to extract fuzzy if-then rules based on a training set of known cases. Experimental results on a set of nearly 150 cases show the proposed system to work well accurately classifying about 80% of cases, a performance that is comparable to other imaging modalities such as mammography.

Keywords

Breast Cancer Classification Statistical Features Fuzzy Thermograms

Authors

ZÁVIŠEK, M.; DRASTICH, A.

RIV year

2007

Released

26. 7. 2007

Publisher

IEEE

Location

London UK

ISBN

1-4244-1210-2

Book

FUZZ-IEEE 2007 PROCEEDINGS

Pages from

1

Pages to

5

Pages count

400

URL

http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4295329&arnumber=4295520&count=355&index=190

BibTex

@inproceedings{BUT23027,
  author="Michal {Závišek} and Aleš {Drastich}",
  title="Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms",
  booktitle="FUZZ-IEEE 2007 PROCEEDINGS",
  year="2007",
  pages="1--5",
  publisher="IEEE",
  address="London UK",
  isbn="1-4244-1210-2",
  url="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4295329&arnumber=4295520&count=355&index=190"
}