Feature Extraction Techniques for Mass Detection in Digital Mammogram (Review)
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Date
2017-12-08
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Scientific Research & Reports
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.
Description
Keywords
Cancer, feature extraction, breast, mammogram, mass, region of interest, benign, malignant