An Efficient Method for Detection of Masses in Mammogram Images

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Cumhuriyet Üniversitesi Fen-Edebiyat Fakültesi Fen Bilimleri Dergisi
Volume:36 Issue:3
An Efficient Method for Detection of Masses in Mammogram Images

An Efficient Method for Detection of Masses in Mammogram Images

Authors : Javad HADDADNIA, Omid RAHMANISERYASAT, Hossein GHAYOUMIZADEH, Hamidreza RABIEE

Pages : 2269-2277

View : 49 | Download : 13

Publication Date : 2015-05-13

Article Type : Review Paper

Abstract :Abstract. Breast cancer is one of the most common cancers among women. Mammography is currently the most effective method for early detection of breast cancer. In this paper, a method is proposed for detecting masses in mammogram images. First, based on a specific algorithm, image is segmented and a number of the suspicious regions are obtained. Then, many features are extracted from these regions. To reduce the features, a supervised feature selection method is used. In the final step, a cost-sensitive classifier has been used for classification of the samples. This approach was tested on all images having mass from mini-MIAS data set. Based on the classification results, the percentage of true positive detection rate was 91% false-positive detection was 14% and the area under ROC curve was achieved 96%.
Keywords : Mammogram images, Ranklet features, Co occurrence matrix, composite classifier, unbalanced data sets, fractal dimension

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