Ultrasonic Breast Tumor Segmentation Based on Variational Method
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Abstract
The selective segmentation of breast tumors is a key step in the computer-aided diagnosis of breast tumors. The variational method is flexible and simple to calculate. In order to accurately obtain the breast tumor area, this article used a Mumford-Shah(MS)model to segment ultrasound breast tumors. First, the approximate ellipse is obtained by using the four points marked by the doctor, and then the four points of the elliptical boundary are automatically selected as the mark points of the target region. Then the weighted function is constructed by using the edge function and the distance function, and the weighted function is combined with the MS function to form the weighted selective segmentation function. As a result, the resulting restriction function has a larger value around the target area, and a smaller value in the rest of the area. And select extra points on the ellipse to selectively segment the breast tumor area. Experiments were carried out and the results show that this method greatly reduces the number of manually marked points for the MS model, and the accuracy rate of tumor segmentation is 90% and the intersection-over-union (IOU) is 85%.
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