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1下载：
基于matlab的 脑部ct图像自动分割 自动分割出脑白质,Ct brain matlab-based Automatic Segmentation automatic segmentation of white matter
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MICCAI2008脑影像分割文章，包括Interactive Liver Tumor Segmentation using Graph-cut and watershed等-Brain image segmentation MICCAI2008 articles, including the Interactive Liver Tumor Segmentation using Graph-cut and watershed, etc.
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这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLA
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图像分割，这是基于脑部的MRI图像的分割，其中有多个m文件-Segmentation, which is based on the MRI brain image segmentation, in which there are several m files
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支撑向量机的函数，可以用于识别、分类和分割，是很好的分类算法-Support Vector Machines function, can be used for identification, classification and segmentation, is a good classification algorithm
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实现了二维图像的种子填充算法，该算法可以用来被用来实现脑图像的交互式分割-Using vc++ implementation of the two-dimensional image of the seed filling algorithm, which can be used be used to achieve interactive segmentation of brain images
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浙大一个师兄实践时做的程序,非常nice,是脑部图像分割的,有半自动进行的功能-Zheda when a senior practice procedures, very nice, is the brain image segmentation, with semi-automatic conduct the function of
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在matlab开发环境下完成，基于区域生长的人脑蛋白质分割算法-In matlab to complete development environment, based on the regional growth of the human brain protein segmentation algorithm
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traightforward Diffusion MRI (DTI) and Fiber Tracking (FT) functions and examples.
DTI.m, will calculate the Apparent Diffusion Coefficient(ADC), fractional anistropy (FA), and diffusion tensor field, of a DTI datasets consisting of at least 6 d
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基于MRI的脑组织分割。首先从给定的MRI图像中得到脑区域，而后计算脑容积；再得到脑白质灰质区域，并计算百分比。-Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present.
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用于脑部分割的一个简单的MATLAB程序-For brain segmentation with a simple MATLAB program
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this for mri brain segmentation
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用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）-To do with the level set within the MRI brain image segmentation instructions (with graphical interface)
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In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
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It is a matlab code for detecting brain tumor in MR images using CIELAB color space model segmentation.
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这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF mod
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FCM是一种实用的算法，在医学图像分割中被广泛应用，有很多的改进措施，本程序是基于FCM来分割MRI人脑图像-MRI brain segmentation using FCM
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对MR脑肿瘤图像进行分割,并对分割的结果进行矩描述。方法 在分析当前常用的医学图像分割方法
的基础上,提出一种基于形变模型的医学图像分割方法,并给出了相应的理论算法模型和实现步骤,最后用Visual C ++
6·0编程,并对MR脑肿瘤图像进行分割实验
-MR images of brain tumor segmentation, and segmentation results Moment. Methods used in the analysis of the current
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brain image segmentation
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brain tumor detection matlab code
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