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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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Automatic Liver Tumor Segmentation from CT Scans with Knowledge-based Constraints
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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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paper to describe about liver tumor segmentation using graph cut segmentation
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brain tumor detection matlab code
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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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