Description: 此文件为一个ＭＲＩ脑图像分割的静态链接库，供大家使用！-This file as an MRI brain image segmentation of the static link library for everyone to use! Platform: |
Size: 1024 |
Author:龚兵 |
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Description: 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 model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction. Platform: |
Size: 52224 |
Author:erdongchen1985 |
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Description: 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 MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction. Platform: |
Size: 45056 |
Author:erdongchen1985 |
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Description: 一个简单的Matlab软件上完成的MRI脑图像的一个白质的分割，程序比较简单，可给初学者提供帮助。-A simple Matlab software to complete the MRI brain images of a white matter segmentation procedure is relatively simple and can provide help for beginners. Platform: |
Size: 1024 |
Author:梅迅 |
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Description: Infant brain probability templates for MRI segmentation and normalization，婴儿脑部图像处理-Infant brain probability templates for MRI segmentation and normalization Platform: |
Size: 1731584 |
Author:张光晋 |
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Description: 用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）-是学生做毕业设计的时候，应该可以参考下的-To do with the level set in the MRI brain image segmentation has usage instructions (with graphical interface)- is designed for students to do graduate, it should be able to refer to the Platform: |
Size: 61440 |
Author:彭成新 |
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Description: Brain tumors are created by abnormal and uncontrolled cell division in brain itself. If the growth becomes more than 50 , then the patient is not able to recover. So the detection of brain tumor needs to be fast and accurate. The objective of this paper is to provide an efficient algorithm for detecting the edges of brain tumor. The first step starts with the acquisition of MRI scan of brain and then digital imaging techniques are applied for getting the exact location and size of tumor. MRI images consist of gray and white matter and the region containing tumor has more intensity. So, first noise filters are used for noise removal and then enhancement techniques are applied to the given MRI scan of brain. After that the basic morphological operations are applied for extracting the region suffering from tumor. And then verification of region detected is done by using watershed segmentation. Platform: |
Size: 273408 |
Author:manoj |
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Description: a hybrid geometrical statistic deformable model for automated 3D image segmentation in mri brain image. Platform: |
Size: 733184 |
Author:seetu |
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Description: The goal of this project is to develop an image segmentation system for brain MRI images
by integrating and adapting existing segmentation techniques. The project will combine
principles image processing, neuromechanics, and stochastic inverse modeling to de-
velop a robust algorithm for edge detection and extraction in brain MRI.-The goal of this project is to develop an image segmentation system for brain MRI images
by integrating and adapting existing segmentation techniques. The project will combine
principles image processing, neuromechanics, and stochastic inverse modeling to de-
velop a robust algorithm for edge detection and extraction in brain MRI. Platform: |
Size: 13555712 |
Author:sairam |
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Description: 聚类实现的另外一种算法，效果OK，可以参考使用，脑部分组织分割不错。(Another algorithm implemented by clustering is OK, which can be used for reference. Partial segmentation of brain tissue is good.) Platform: |
Size: 167936 |
Author:ztggggggggg |
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