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A new algorithm (image registration and texture energy analysis - ITEAR), which can accurately identify the early stage tumor in CT images, is developed in this paper. The ITEAR algorithm aligns the corresponding PET and CT images by the mutual information registration method and applies the adaptive threshold segmentation algorithm to segmenting the region of interest (ROI) in PET images. Then, the...
In this paper, we introduced a novel Computer Aided Detection (CAD) system for colonic polyp detection in CT data. The CAD system extracts colon region from CT images using cellular neural network (CNN) which its parameters of A,B and I templates are optimized by genetic algorithm in order to improve segmentation performance. Region of interest (ROI) of all slices were combined together to acquire...
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