Breast Cancer Detection in Mammogram Using Fuzzy C-Means And Random Forest Classifier
Aleena Johny, Jincy J. Fernandez · Zenodo (CERN European Organization for Nuclear Research) · 2018
Breast Cancer is one of the important reasons for death among ladies. Many research has been done on the diagnosis and detection of breast cancer using various image processing techniques. The proposed work deals with a technique for extracting the malignant masses in the mammography image for the earlier detection of breast cancer. The mammography images are complex, and also because of the noisy, inconsistent and incomplete data, several pre-processing techniques are used to enhance and make clear the targeted areas in the mammogram images. After segmenting the images into speci?c regions, based on its homogeneous characteristics, features are extracted which helps the classi?cation more accurate. In this work, Fuzzy C-Means method is combined with Random Forest classi?er to improve the accuracy.