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Image filtering, denoising and segmentation via levels set method: An application to medical images MRI

机译:通过级别筛选,去噪和分割方法:医学图像MRI的应用

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The Nuclear Magnetic Resonance Imaging or the MRI is one of the different noninvasive imaging techniques that have emerged in the recent decades. Thanks to its findings in different types of diagnosis, the M.R. I. technique has become one of the most interesting and widely used methods in clinical diagnosis. This paper suggests a method of correction, denoising, and segmentation of the MRIimages. That is to say, this issue can be solved by a coupled system of linear and nonlinear diffusion-reaction equations. In fact, these equations are suggested and tested for the denoising of magnetic resonance images, in order to be applied for the segmentation of medical images M.R. I.
机译:核磁共振成像或MRI是近几十年来出现的不同非侵入性成像技术之一。 由于其在不同类型的诊断中的调查结果,M.R.I。技术已成为临床诊断中最有趣和最广泛使用的方法之一。 本文提出了MRIImages的校正,去噪和分割方法。 也就是说,该问题可以通过线性和非线性扩散反应方程的耦合系统来解决。 实际上,建议并测试这些方程以用于磁共振图像的去噪,以便应用于医学图像的分割M.R.I.

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