- Cumhuriyet Üniversitesi Fen-Edebiyat Fakültesi Fen Bilimleri Dergisi
- Vol: 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 Rahmani-seryasat, Hossein Ghayoumi-zadeh, Hamidreza Rabiee
Pages : 2269-2277
View : 8 | Download : 4
Publication Date : 2015-05-13
Article Type : Review
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