Breast cancer is the second most common cancer in women. Mammography is the best imaging technology for early detection of tumours in breast tissue.
Now, researchers in India have developed a new approach to the classification of abnormalities in the breast using a decision tree based on GLCM (grey level co-occurrence matrices). This allows useful texture and statistical features to be extracted from a medical image based on the pixel "brightness" value in the digital image.
In the new approach noise is reduced following data acquisition using pre-processing and then the image is examined using the GLCM technique to help discern between benign and malignant tissue seen in the mammogram.
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J. Kamalakannan et al. Classification of breast abnormality using decision tree based on GLCM features in mammograms, International Journal of Computer Aided Engineering and Technology (2018). DOI: 10.1504/IJCAET.2018.10013711