Efficient Feature Selection Approach For Breast Cancer Classification Using Machine Learning

Author:

Nagaiah K1,Mohan K Madan2,Aswala Mohan3

Affiliation:

1. FST-ECE THE ICFAI University Raipur,Raipur,INDIA

2. Jawaharlal Nehru Technological University Hyderabad,Department of Computer Science and Engineering,Hyderabad,TS,500 085

3. Guruanak Institutions Technical Campus Ibrahimpatnam,ECE Department,Hyderabad,India

Publisher

IEEE

Reference22 articles.

1. Breast cancer biopsy predictions based on mammographic diagnosis using Support Vector Machine learning;miao;Multidisciplinary Journals in Science and Technology Journal of Selected Areas in Bioinformatics,2015

2. Brownian motion curve-based textural classification and its application in cancer diagnosis;mookiah;Analytical and Quantitative Cytology and Histology,2011

3. Breast cancer diagnosis using wavelet based threshold method;kanchana;Middle-East Journal of Scientific Research,2015

4. Mammogram enhancement and segmentation methods: classification, analysis, and evaluation;biltawi;International Arab Conference on Information Technology,0

5. Statistical segmentation of mammograms;comer;Proceedings of the 3nd International Workshop on Digital Mammography,0

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