The application of fractal analysis to mammographic tissue classification.
The application of fractal analysis to mammographic tissue classification.
复制标题
分形分析在乳腺X线摄影组织分类中的应用。
DOI：
10.1016/0304-3835(94)90101-5
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发表时间：
1994
期刊：
影响因子：
9.7
通讯作者：
Robert A. Clark
中科院分区：
文献类型：
--
作者：
C. Priebe;J. Solka;R. Lorey;G. W. Rogers;W. Poston;M. Kallergi;Wei Oian;Laurence P. Clarke;Robert A. Clark
作为确定使用计算机辅助诊断医学图像的功效的第一步，已经进行了利用图像中的图案或纹理的研究。为了有价值，任何计算机方案都必须能够识别和区分各种模式。在乳房X线摄影中，一个明显的例子是从正常实质组织中识别肿瘤组织和非恶性异常组织。我们已经开发出一种模式识别技术，它使用来自图像的分形性质的功能。此外，我们能够开发可用于区分和分类许多组织类型的数学模型。基于有限数量的数字化乳房X线照片，我们的计算机算法已经能够区分肿瘤组织和健康组织，并区分各种实质组织模式。这些初步结果表明，基于图像的分形性质的歧视可能是一个可行的方法，利用计算机来帮助诊断。
As a first step in determining the efficacy of using computers to assist in diagnosis of medical images, an investigation has been conducted which utilizes the patterns, or textures, in the images. To be of value, any computer scheme must be able to recognize and differentiate the various patterns. An obvious example of this in mammography is the recognition of tumorous tissue and non-malignant abnormal tissue from normal parenchymal tissue. We have developed a pattern recognition technique which uses features derived from the fractal nature of the image. Further, we are able to develop mathematical models which can be used to differentiate and classify the many tissue types. Based on a limited number of cases of digitized mammograms, our computer algorithms have been able to distinguish tumorous from healthy tissue and to distinguish among various parenchymal tissue patterns. These preliminary results indicate that discrimination based on the fractal nature of images may well represent a viable approach to utilizing computers to assist in diagnosis.
影响因子：
6.7
作者：
CHAN, HP;DOI, K;MACMAHON, H
通讯作者：
MACMAHON, H