Computer aided segmentation of Mammary carcinoma on ultrasound Images using soft computing techniques

Abstract

Mammary Carcinoma is highly spread and the foremost reason for death newlineamong women Early detection is an efficient method to diagnose and supervise newlinemammary carcinoma using Computer Aided Detection CAD systems The objective of newlinethe Research is to develop an efficient speckle noise removal and contrast enhancement newlinetechnique to effectively segment the carcinoma region by detecting the boundary with the newlinehelp of soft computing techniques newlineThe system involves the following phases speckle noise reduction, contrast newlineEnhancement segmentation with boundary detection To remove speckle noise Memetic newlineAdaptive Neuro Fuzzy Inference System ANFIS is used Contrast enhancement is newlineperformed using fuzzy Hough Transformation HT The enhanced image is segmented newlineusing clustering technique called Modified Fuzzy Possibilistic C Means MFPCM newlinetechnique with Repulsion factor to identify the affected region The boundaries of the newlinedetected carcinoma lesion are found using Generalized Gradient Vector Flow GGVF newlinesnake algorithm newline newline