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논문검색

Classification of Breast Mammograms into Benign and Malignant

원문정보

Muhammad Talha, Ghazali Bin Sulong, Abdulrahman Alarifi

보안공학연구지원센터(IJMUE) International Journal of Multimedia and Ubiquitous Engineering Vol.7 No2 2012.05 pp.359-364
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초록

영어

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.

목차

Abstract
 1. Introduction
 2. Proposed System
 3.1 Preprocessing for Enhancement
 3.2 Features Extraction
 3.3 Classification
 4. Results and Discussion
 Acknowledgements
 References

키워드

저자정보

  • Muhammad Talha 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
  • Ghazali Bin Sulong Department of Computer Graphics and Multimedia, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Malaysia
  • Abdulrahman Alarifi Computer Research Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia

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