Role of normalization of breast thermogram images and automatic classification of breast cancer

Sathish, Dayakshini and Kamath, Surekha and Prasad, Keerthana and Rajagopal, KV (2019) Role of normalization of breast thermogram images and automatic classification of breast cancer. Visual Computer, 35 (1). pp. 57-70. ISSN 0178-2789

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Abstract

Breast thermography is a non-invasive imaging technique used for early detection of breast cancer based on temperatures. Temperature matrix of breast provides minute variations in temperatures,which is significant in early detection of breast cancer. The minimum, maximum temperatures and the their range may be different for each breast thermogram. Normalization of temperature matrices of breast thermograms is essential to bring the different range of temperatures to the common scale. In this article,we demonstrate the importance of temperaturematrix normalization of breast thermograms. This paper also proposes a novel method for automatically classifying breast thermogram images using local energy features of wavelet sub-bands. A significant subset of features is selected by a random subset feature selection (RSFS) and genetic algorithm. Features selected by RSFS method are found to be relevant in detection of asymmetry between right and left breast. We have obtained an accuracy of 91%, sensitivity 87.23% and specificity 94.34% using SVMGaussian classifier for normalized breast thermograms. Accuracy of classification between a set of hundred

Item Type: Article
Uncontrolled Keywords: Breast cancer · Breast thermography · Asym- metry analysis · Normalization · Wavelet local energy ·
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Information Sciences > MCIS Manipal
Depositing User: MIT Library
Date Deposited: 25 Feb 2019 06:29
Last Modified: 25 Feb 2019 06:29
URI: http://eprints.manipal.edu/id/eprint/153318

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