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Fractal Dimensions Analysis and Morphological Investigation of Nanomedicine by Machine-Learning Methods

机译:机器学习方法的分形尺寸分析与纳米医生的形态学研究

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Nanomedicine is the medical application of nanotechnology. Medications can be more efficiently delivered to the site of action using nanotechnology. Nanotechnology can also reduce the frequency with which we have to take our medications, resulting in improved outcomes with less medication. On a nanoscale of medication, the self-similarity behavior of particles can be seen. Self-similarity is one of the prominent properties in the field of fractal science. The fractal geometry is one of the branches of mathematics, which has shown flexibility and unique ability to interpret and simulate different forms of nature. Using fractal geometry, a clear horizon was devoted for mathematicians and researchers to explaining the behavior of functions, chaotic, and apparently uneven collections. Analysis of fractal dimensions by using of image processing method is a powerful tool for obtaining the morphological information of nanomedicine. Using the Scanning Electron Microscope (SEM) images were provided for the morphological studies of nanomedicine. The fractal dimension was calculated using the image processing technique, fractal dimension and other image properties were analyzed. The goal of this study is to prove the fractal behavior of considered nanomedicine, and some of the hypothesis in the field of measurement of fractal dimension have been investigated. The results show that nanomedicine have a fractalian behavior.
机译:Nanomedicine是纳米技术的医学应用。使用纳米技术可以更有效地递送到作用部位的药物。纳米技术还可以降低我们必须服用药物的频率,从而改善了药物较少的结果。在纳米级药物上,可以看到颗粒的自相似性行为。自我相似性是分形科学领域的突出特性之一。分形几何是数学的分支之一,它显示了灵活性和独特的解释和模拟不同形式的性质。使用分形几何形状,为数学家和研究人员致力于解释功能,混乱,显然不均匀收集的行为的清晰地平线。通过使用图像处理方法分离分形尺寸是获得纳米医用的形态信息的强大工具。使用扫描电子显微镜(SEM)图像进行了纳米胺的形态学研究。使用图像处理技术计算分形尺寸,分析分形维数和其他图像性质。本研究的目标是证明纳米医用的分形行为,并研究了分形维数的测量领域的一些假设。结果表明,纳米医生具有厚不割的行为。

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