EAN: 9783960671411

CLASSIFICATION OF MAMMOGRAM IMAGES - SUPRIYA SA...

Breast cancer is the most common type of cancer in women  which also causes the most cancer
deaths among them today. Mammography is the only reliable method to detect breast cancer in the
early stage among all diagnostic methods available currently. Breast cancer can occur in both
men and women and is defined as an abnormal growth of cells in the breast that multiply
uncontrollably. The main factors which cause breast cancer are either hormonal or genetic.
Masses are quite subtle  and have many shapes such as circumscribed  speculated or ill-defined.
These tumors can be either benign or malignant. Computer-aided methods are powerful tools to
assist the medical staff in hospitals and lead to better and more accurate diagnosis. The main
objective of this research is to develop a Computer Aided Diagnosis (CAD) system for finding
the tumors in the mammographic images and classifying the tumors as benign or malignant. There
are five main phases involved in the proposed CAD system: image pre-processing  extraction of
features from mammographic images using Gabor Wavelet and Discrete Wavelet Transform (DWT) 
dimensionality reduction using Principal Component Analysis (PCA) and classification using
Support Vector Machine (SVM) classifier.

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