Mammogram tumor classification using multimodal features and Genetic Algorithm
M. Suganthi, M. Madheswaran · International Conference on Control and Automation · 2009
This paper proposes a computer aided decision support system for an automated diagnosis and classification of breast tumor using mammogram. The proposed method differentiates two breast diseases namely benign masses and malignant tumors. From the preprocessed mammogram image, texture and shape features are extracted. The optimal features can be extracted by using a feature selection scheme based on the Multi Objectives Genetic Algorithm (MOGA).The performance of the proposed method is compared with the previous methods in terms of classification accuracy, training and testing time. Simulation results show that, this approach is an efficient, easy to use and can achieve high sensitivity.