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This study proposes a set of novel feature vectors for accurate differentiation of 3 typical types of liver space-occupying lesions in ultrasound images. Experiments were performed on 280 cases of liver images, including 112 cases of normal liver images, 90 cases of liver cancer images, 38 cases of liver hemangioma images and 40 cases of liver cyst images. First, we defined two types of region of...
A computerized classification of breast tumor based on B-mode ultrasound and color Doppler flow imaging is proposed. First, the boundary of the breast tumor was manually delineated. Second, five contour features and two gray level features of the tumors were extracted from the B-mode ultrasonic images. Third, an optimal feature vector was created using K-means cluster algorithm. Then a back propagation...
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