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Mass Detection and Classification using Machine Learning Techniques in Digital Mammograms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 76 - Number 1 |
| Year of Publication: 2013 |
| Authors: S Narasimha Murthy, Arun Kumar M N, H S Sheshadri |
10.5120/13208-0586
|
S Narasimha Murthy, Arun Kumar M N, H S Sheshadri . Mass Detection and Classification using Machine Learning Techniques in Digital Mammograms. International Journal of Computer Applications. 76, 1 ( August 2013), 1-4. DOI=10.5120/13208-0586
Abstract
Breast cancer is one of the most dangerous carcinomas for middle-aged and older women in the world. Mammography is a detection tool that assists the radiologists in reading the mammograms. In this paper, new techniques are proposed to detect and classify the masses automatically. These techniques improve the detection and classification process. Classification of masses into benign or malignant is an issue as the number of instances belongs to benign class is significantly greater than the malignant classes. This imbalanced problem is well addressed in proposed method using different approaches. This classification method outperforms many other classification approaches.
References
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