On cancer recognition of ultrasound images

E. Yfantis, T. Lazarakis, A. Popovich, A. Angelopoulos, G. Bebis
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引用次数: 3

Abstract

An algorithm of cancer recognition in ultrasound images is developed in this paper. In order for cancer to survive it develops its own blood supply system, which is different than the supply system of normal tissue. The velocity of the blood flowing through the cancerous blood vessels is different than the velocity of the blood flowing through blood vessels of normal tissue. Due to this fact the ultrasound signal is absorbed differently in the cancerous areas than in the normal tissue areas. The energy of the signal, the continuity of the signal, the autocorrelation function and frequency domain properties are different in the normal tissue than in cancerous tissue. All of these indicators are weighted here for the purpose of classifying the image of the tissue as being cancerous or non-cancerous. Preliminary results based on limited number of ultrasound images show that our method has the ability to recognize cancer in ultrasound images.
肿瘤超声图像识别研究
本文提出了一种基于超声图像的肿瘤识别算法。为了让癌症存活,它发展了自己的血液供应系统,这与正常组织的供应系统不同。血液流经癌变血管的速度不同于血液流经正常组织血管的速度。由于这个事实,超声信号在癌变区域的吸收方式与正常组织区域不同。信号的能量、信号的连续性、自相关函数和频域特性在正常组织和癌组织中是不同的。所有这些指标都是加权的,目的是将组织的图像分类为癌变或非癌变。基于有限数量的超声图像的初步结果表明,我们的方法具有识别超声图像中肿瘤的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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