J Med Syst - Detection of breast abnormality from thermograms using curvelet transform based feature extraction.

Tópicos

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Resumo

Breast cancer is one of the leading causes for high mortality rates among young women, in the developing countries. Currently mammography is used as the gold standard for screening breast cancer. Due to its inherent disadvantages, alternative techniques are being considered for this purpose. Breast thermography is one such imaging modality, which represents the temperature variations of breast in the form of intensity variations on an image. In the last decade, several studies have been made to evaluate the potential of breast thermograms in detecting abnormal breast conditions, from an image processing view point. This paper proposes a curvelet transform based feature extraction method for automatic detection of abnormality in breast thermograms. Statistical and texture features are extracted from thermograms in the curvelet domain, to feed a support vector machine for automatic classification. The classifier detects abnormal thermograms with an accuracy of 90.91 %. The results of the study indicate that texture features have better potential to detect abnormality in breast thermograms, when extracted in the multiresolution curvelet domain.

Resumo Limpo

breast cancer one lead caus high mortal rate among young women develop countri current mammographi use gold standard screen breast cancer due inher disadvantag altern techniqu consid purpos breast thermographi one imag modal repres temperatur variat breast form intens variat imag last decad sever studi made evalu potenti breast thermogram detect abnorm breast condit imag process view point paper propos curvelet transform base featur extract method automat detect abnorm breast thermogram statist textur featur extract thermogram curvelet domain feed support vector machin automat classif classifi detect abnorm thermogram accuraci result studi indic textur featur better potenti detect abnorm breast thermogram extract multiresolut curvelet domain

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