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MR-image-segmentation
- 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
ractio
- T2加权人脑MR体数据的脑提取T2-weighted brain MR brain volume data extraction-T2-weighted brain MR brain volume data extraction
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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 cere
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- 代码1结合阈值法的水平集分割方法 已经运行，成功对脑MR图像进行分割。-Code 1 level set segmentation method combines threshold method has been running successfully for brain MR image segmentation.
3D脑部MRI分割
- 图像分割mr灰白质，脑腔，好几个文件，要在matlab下都运行，先运行serve那个。挺好用的(Image segmentation Mr Gray matter, brain cavity, several files, to run in matlab, run that first. Good use of)