Fuzzy - Rough Feature Selection with pi - Membership Function for Mammogram Classification
Breast cancer is the second leading cause for death among women and it is diagnosed with the help of mammograms. Oncologists are miserably failed in identifying the micro calcification at the early stage with the help of the mammogram visually. In order to improve the performance of the breast cancer screening, most of the researchers have proposed Computer Aided Diagnosis using image processing. In this study mammograms are preprocessed and features are extracted, then the abnormality is identified through the classification. If all the extracted features are used, most of the cases are misidentified. Hence feature selection procedure is sought. In this paper, Fuzzy-Rough feature selection with #960; membership function is proposed. The selected features are used to classify the abnormalities with help of Ant-Miner and Weka tools. The experimental analysis shows that the proposed method improves the mammograms classification accuracy.
Keywords: fuzzy sets, rough set, ant-miner, feature selection, mammogram
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ABOUT THE AUTHORS
K. Thngavel
K. Thangavel was born in 1964 at Namakkal, Tamilnadu, India. He received his M.Sc., degreee from the Department of Mathematics, Bharathidasan University in 1986, and Master of Computer Applications Degree from Madurai Kamaraj University, India in 2001. He obtained his Ph.D. Degree from the Department of Mathematics, Gandhigram Rural Institute-Deemed University, Gandhigram, India in 1999. Currently he is working as Professor and Head with the Department of Computer Science, Periyar University, Salem. He is a recipient of Tamilnadu Scientist award for the year 2009. His research interests include Medical Image Processing, Data Mining, Bioinformatics and Mobile Computing.
R.Roselin
R. Roselin was born in 1971 at Tuticorin, Taminadu, India. She has received M. Phil degree in the area of Data Compression from Mother Teresa Women’s University in May 2001. Currently, she is working as Assistant Professor in the Department of Computer Science, Sri Sarada College for Women (Autonomous), India. Her research interests include Medical Image Processing, Data Mining and Pattern Recognition.
K. Thngavel
K. Thangavel was born in 1964 at Namakkal, Tamilnadu, India. He received his M.Sc., degreee from the Department of Mathematics, Bharathidasan University in 1986, and Master of Computer Applications Degree from Madurai Kamaraj University, India in 2001. He obtained his Ph.D. Degree from the Department of Mathematics, Gandhigram Rural Institute-Deemed University, Gandhigram, India in 1999. Currently he is working as Professor and Head with the Department of Computer Science, Periyar University, Salem. He is a recipient of Tamilnadu Scientist award for the year 2009. His research interests include Medical Image Processing, Data Mining, Bioinformatics and Mobile Computing.
R.Roselin
R. Roselin was born in 1971 at Tuticorin, Taminadu, India. She has received M. Phil degree in the area of Data Compression from Mother Teresa Women’s University in May 2001. Currently, she is working as Assistant Professor in the Department of Computer Science, Sri Sarada College for Women (Autonomous), India. Her research interests include Medical Image Processing, Data Mining and Pattern Recognition.
