Feature Extraction Techniques for Mass Detection in Digital Mammogram (Review)
Journal Title: Journal of Scientific Research and Reports - Year 2017, Vol 17, Issue 1
Abstract
One of the most common diseases in women today is breast cancer. The method of detection and analyzing breast images according to literature, to mention few are mammography, magnetic resonance, thermography and ultrasound of which mammography is the most accurate and low cost method. Mass is a major symptom of breast abnormality. Despite the high success of mammography in mass detection, radiologists find it difficult to interpret breast abnormality and take decision. Computer Aided Detection (CADe) and Computer Aided Diagnosis (CADx) are the two systems to improve radiologists’ accuracy of detection and, classification of breast cancer into benign or malignant prior to biopsy. However, the optimal classification rate of CAD system depends on effectiveness of feature extraction technique. This paper present review of different feature extraction Techniques (FETs) that have been adopted for mass detection and classification.
Authors and Affiliations
Adeyemo Temitope Tosin, Adepoju Temilola Morufat, Sobowale Adedayo Aladejobi, Oyediran Mayowa Oyedepo, Omidiora Elijah Olusayo, Olabiyisi Stephen Olatude
Keywords
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- EP ID EP323459
- DOI 10.9734/JSRR/2017/33314
- Views 98
- Downloads 0
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