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New Fractal Methods for Diagnosis of Cancer

机译:分形新方法诊断癌症

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We have proposed two new fractal methods that may be helpful in diagnosis of cancer. To reduce computational complexity, 2-D images of tumors are firstly preprocessed following our methods to form 1-D sequences that are subsequently analyzed using Higuchi fractal dimension. The first method, Image Signature's Fractal Dimension, is based on analysis of 1-D sequence called the signature of the tumour mass contour. The second method, Image Landscapes' Fractal Dimension, is based on analysis of two 1-D sequences called the horizontal and vertical landscapes. Both methods are easy and quick and we demonstrated that they may be successfully applied in oncology to support pathologist's diagnosis.
机译:我们提出了两种新的分形方法,可能有助于诊断癌症。为了降低计算复杂度,首先按照我们的方法对肿瘤的二维图像进行预处理,以形成一维序列,然后使用Higuchi分形维数对其进行分析。第一种方法是图像签名的分形维数,它基于对一维序列的分析(称为肿瘤块轮廓的签名)。第二种方法是图像景观的分形维数,该方法基于对两个称为水平和垂直景观的一维序列的分析。两种方法都简便快捷,我们证明了它们可以成功地应用于肿瘤学,以支持病理学家的诊断。

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