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A contour extraction method based on active contour model for mammographic mass

机译:一种基于主动轮廓模型的乳房X线肿块的轮廓提取方法

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We propose an automatic contour extraction scheme based on an active contour model (Snake). In this technique, after first determining the central point of a mass, an initial contour is arranged, and a control point's direction of movement is limited to directions radiating from the central point. Moreover, it became possible to increase extraction accuracy by choosing the pixel used for processing and using two images, an edge intensity image and a degree of separation image defined based on the concentration histogram, for the calculation of the image forces of a snake. The accuracy of the placement of the central point and the automated extraction method were investigated using 53 digitized mammograms having many difficult contours. The results were quantitatively compared with correct segmentation described by doctor's sketches. The number of cases in which the extracted region corresponded with the correct one at 81 to 100% and 61 to 80% were 25 and 12, respectively. The initial results of the application of this technique show that it may be effective in improving the performance of our CAD system.
机译:我们提出了一种基于动态轮廓模型(蛇)自动轮廓提取方案。在该技术中,在第一次确定的质量的中心点,初始轮廓布置,和移动的控制点的方向被限制在方向从中心点辐射。此外,它变得可能通过选择用于处理的像素,并使用两个图像,边缘强度图像以及基于所述浓度直方图中的程度限定分离图像的,对于蛇的图像力的计算,以提高提取的精度。中央点的放置和自动提取方法的准确度,使用53个数字化的乳房X线照片具有许多困难轮廓的影响。结果进行定量与医生的草图描述正确的分割比较。其中所提取的区域与正确的一个对应的在81至100%,61至80%的病例的数目分别为25和12。这一技术的应用的初步结果表明,它可以有效地改善我们的CAD系统的性能。

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