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Region of interest identification in prostate TRUS images based on Gabor filter

This paper presents a new algorithm for prostate texture classification based on transrectal ultrasound (TRUS) images. A Gabor filter is designed to automatically identify the regions of interest (ROI) in the image. Furthermore, texture analysis for these regions is carried out by employing grey level co-occurrence matrix GLCM. Contrast feature is found to be useful for the differentiation between cancerous and non-cancerous tissues. The obtained results demonstrate that the contrast level in normal tissue is higher than that of cancerous tissue