Classification of breast mammograms into benign and malignant

作     者：Talha, Muhammad Sulong, Ghazali Bin Alarifi, Abdulrahman 

作者机构：College of Science Research Centre King Saud University Riyadh Saudi Arabia Department of Computer Graphics and Multimedia Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia Computer Research Institute King Abdulaziz City for Science and Technology Riyadh Saudi Arabia 

出 版 物：《International Journal of Multimedia and Ubiquitous Engineering》 (Int. J. Multimedia Ubiquitous Eng.)

年 卷 期：2012年第7卷第2期

页      面：359-363页

核心收录：

主　　题：Discrete cosine transforms 

摘      要：In this paper, we have proposed a method that consists of combination of different methods. First we have performed enhancement on breast mammogram to enhance the image quality. After that discrete cosine transform has been applied for features extraction. Bayesian Classifier has been used for classification into benign and malignant. It has been noted that results are very much satisfactory. We have used MIAS data set for experimentation purpose. Proposed method performs good when we have tested on different images.