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首页> 外文期刊>Procedia - Social and Behavioral Sciences >Segmentation of Masses from Breast Ultrasound Images using Parametric Active Contour Algorithm
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Segmentation of Masses from Breast Ultrasound Images using Parametric Active Contour Algorithm

机译:基于参数主动轮廓算法的乳腺超声图像质量分割

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摘要

The active contour (Snake) is a computer generated curve that can trace boundaries of images. As a method which applies the computer technology in mathematics, Snake is computationally formulated based on controlled continuous splines and adopts the mathematical concept of energy minimization. This paper presents the application of Snake for the segmentation of masses on breast ultrasound images. The images used are taken from Malaysian population. The boundaries of the masses identified may be used in classification of cancers or non-cancerous masses. Specifically the Balloon Snake is applied in segmenting the masses in the breast ultrasound images. Comparison on the masses areas segmented by the Balloon Snake is done against the areas traced by an expert (radiologist). It is found that from forty-five masses tested, the average percentage area difference of Balloon Snake is 4.47%. This implies that the accuracy of segmentation results for the Balloon Snake is 95.53%.
机译:活动轮廓(蛇形)是计算机生成的曲线,可以跟踪图像的边界。作为一种将计算机技术应用到数学中的方法,Snake基于受控的连续样条进行计算公式化,并采用了能量最小化的数学概念。本文介绍了Snake在乳房超声图像上进行肿块分割的应用。使用的图像取自马来西亚人口。所识别的肿块的边界可以用于癌症或非癌肿块的分类。具体地,气球蛇被应用于分割乳房超声图像中的肿块。将气球蛇分割的肿块区域与专家(放射线医生)追踪的区域进行比较。发现从45个测试的质量中,气球蛇的平均面积差百分比为4.47%。这意味着气球蛇的分割结果的准确性为95.53%。

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