Development of CADx System for detection of anomalies in breast

Development of CADx System for detection of anomalies in breast

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A dataset of 322 images from Mammographic Image Analysis Society (MIAS). The images are pre-processed with Adaptive Median filter for noise removal and image enhancement. For ROI extraction original image having 1024 x1024 pixels are cropped into 256x256 pixels. The images are segmented using Gaussian Mixture Model for extracting the actual tumour area. We have considered 20 benign, 20 malignant and 20 normal images cases of circumscribed, speculated and ill-defined masses from the database. Each mass is represented with 22 texture features. The PNN classifier is used to perform the classifica...