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Description: K_MEANS 实现脑图像分割，聚类数为3，采用整体计算法-Realize K_MEANS brain image segmentation, clustering for 3, using the overall calculation
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Size: 33792 |
Author: 任彦华 |
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Description: Here is the technique for modified ant Tree algorithm for MRI brain segmentatin. It is proven that it is more efficient than FCM
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Size: 2356224 |
Author: Guru |
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Description: 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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Size: 50176 |
Author: 曾子铭 |
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Description: 自己写的分割脑组织的程序，用FCM方法分割，可以直接运行-Write their own brain tissue segmentation procedure, using FCM segmentation method can be run directly
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Size: 133120 |
Author: bsumydream |
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Description: 标准FCM对脑部MRI图像的分割，效果好-FCM MRIbrain segmentation
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Size: 9216 |
Author: wendy wang |
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Description: 使用FCM对MRI图像进行分割，并且校正bias field的影响-FCM MRI image segmentation, and correcting the bias field
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Size: 6421504 |
Author: 冯胜利 |
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Description: 蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片-Ant-Colony algorithm for MRI image segmentation including MRI image for testing.
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Size: 544768 |
Author: 施佳佳 |
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Description: MRI脑肿瘤分割matlab代码，内面的gui要重新编译才能运行-MRI brain tumor segmentation matlab code, gui inner surface to be recompiled to run
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Size: 211968 |
Author: 马林冲 |
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Description: 块速fcm对MRI图像的处理，并对分割后各组织分别保存-Block speed fcm for MRI image processing, and various organizations were preserved after split
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Size: 32768 |
Author: 孙佳贝 |
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Description: 基于标准FCM算法的mri脑肿瘤图像分割-MRI brain tumor image segmentation based on standard FCM algorithm
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Size: 98304 |
Author: 陈嘉 |
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Description: resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences. The result is a slowly varying shading artifact
over the image that can produce errors with conventional intensity-
based classification. Our algorithm is formulated by modifying
the objective function of the standard fuzzy c-means (FCM) algorithm
to compensate for such inhomogeneities and to allow the labeling
of a pixel (voxel) to be influenced by the labels in its immediate
neighborhood. The neighborhood effect acts as a regularizer
and biases the solution toward piecewise-homogeneous labelings.
Such a regularization is useful in segmenti
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Size: 227328 |
Author: yangs |
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Description: tumor detection for mri images using hybrid fcm algorithim
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Size: 1243136 |
Author: josh |
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