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这个源码是用遗传算法对FCM 算法进行改进后的算法，实现了对脑图像的自动分割，速度较快-the source is using genetic algorithms to FCM algorithm for improved algorithm, achieving the right brain's automatic image segmentation, faster
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In this paper, we propose a color-based
segmentation method that uses the K-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 is
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this file is mri brain segmentation techniques
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brain image segmentation and registration
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this was the code for SOM based brain image segmentation which can segment brain image and finally the segmented labelled image was represent as a color label. this code segment the tumor spot of an given brain image and represent as a color label. w
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Random Forest brain tumor segmentation
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mri brain image segmentation
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OTSU实现脑部灰质白质的分割 效果比较好-White matter of the brain gray matter OTSU achieve segmentation
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brain stroke area will be detected by this program ,it will undergoes curvlet diagnosis ,the kmeans segmentation .the segmented image will go for feature extraction
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mr brain image segmentation code
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一个简单的CNN的matlab实现，用于分割脑血管(a simple implementation of convolutional neural networks and just for the Segmentation of Brain Vessels)
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用U-net进行脑部图像多类分割，用keras框架进行实现(U-net brain segmentation keras tensorflow background)
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brain image segmentation
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brain tumor detection matlab code
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脑部组织的MRI图像分割算法，自己做的，硕士毕业用的，优秀论文，可以参考。(Brain tissue MRI image segmentation algorithm, I do it myself, master's graduation, excellent papers, you can refer to.)
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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.)
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帮助图像检索，更好的学习代码 ，帮助理解(In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences.)
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# BRATS 2017
## Brain Tumor Image Segmentation Challenge 2017
This is an approach for brain tumor segmentation based on a multi-path CNN.
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