BREAST CANCER IDENTIFICATION USING IMAGE PROCESSING AND NEURO FUZZY CLASSIFIER

Computer aided medical analysis is the upcoming trend in tumour diagnosis. One of the most powerful techniques for early detection of breast cancer is based on digital mammogram. In order to detect the breast cancer, the radiologist usually searches the mammograms visually for specific abnormalities. This project presents a suitable solution for identifying the presence of tumours using image processing methods and a fuzzy classifier. The proposed method uses MATLAB for applying GABOR filter space, which is the artificial visual cortex system and computation of GLCM. In verilog the presence of parallel multiplication and accumulation units make the physical size of filter bank heavy which can be optimized by constructing the same filter bank with MATLAB. This works aims at lossless compression of medical images using lifting scheme, feature extraction using GLCM and then finding optimal combination of features for the neuro fuzzy classifier.