乳腺肿瘤超声图像的轮廓提取

Wei-Ren Chen, P. Tsui, Yung-Sheng Chen
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引用次数: 2

摘要

超声图像中乳腺肿瘤的形状特征是鉴别乳腺肿瘤良恶性的常用手段。提出了一种轮廓提取的方法来进行识别。为了减小超声能量衰减引起的阴影效应的影响,设计了半轮廓法。在轮廓变化线索的基础上,提出了度标准变化和纹理信息作为判别的有用特征。利用所采用的半轮廓信息,可获得70%以上的精度。实验验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contour extraction for breast tumor in ultrasound image
Shape features are usually considered for discriminating benign and malignant breast tumors in ultrasound image. A contour extraction method is presented for the purpose of discrimination. A half contouring is devised for reducing the influence of shadow effect resulting from the ultrasonic energy decay. Based on the cue of contour variation, degree standard variation and texture information are developed as useful features for the discrimination. Above 70% accuracy could be obtained by using the adopted half contour information. Experiments confirm the feasibility of the proposed method.
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