搜索资源列表
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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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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 a senior practice the procedure done, very nice, is the brain image segmentation, there are semi-automatic to carry out the functions of
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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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matlab实现图像处理的程序，这是一个关于脑扫描图像分割的程序，很完整-matlab image processing procedures to achieve, this is a brain scan on the image segmentation process, it is a complete
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文件包含脑部CT图像分割的程序及所用图片-File contains the brain CT image segmentation procedures and images used in
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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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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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数字图像处理，实现图像的变换，分割，最终实现脑图像的诊断-Digital image processing, and image transformation, segmentation, and ultimately the diagnosis of brain images
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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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基于阈值的脑磁共振图像分割，其中的所有代码。-Brain magnetic resonance image segmentation based on the threshold, all code.
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自运行，有结果。代码-基于局部高斯概率的脑MR图像分割模型，把脑mr图像分割为白质，灰质和脑脊液三部分，-Since operation and results. Code- based on local Gaussian probability of brain MR image segmentation model, the brain mr image into white matter, gray matter and cerebrospinal fluid of three parts
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基于狄利克雷过程的无限高斯混合模型的脑医学MRI图像分割-Dirichlet process mixture model Brain MRI image segmentation algorithm
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脑图像分割基于自适应正则化的基于核的FCM分割，希望对大家有用-Brain Image Segmentation Based on Adaptive Regularization Based on Kernel FCM segmentation, we hope to be useful
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UNC 北卡罗莱纳大学的脑图像分割工具箱 非常好的软件还有论文可以帮助理解 希望可以帮助到大家-UNC code used for brain image segmentation
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美国北卡罗莱纳大学的脑图像分割编辑程序用来进行不同形式的脑图像的分割和评价有原有论文可以参考阅读。谢谢希望可以帮助大家。-Brain image segmentation and uation of brain image segmentation editing program University of North Carolina in the United States have used different forms of original papers can refer to
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Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m
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