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In this project ,we propose a color based segmentation method that uses the c 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 means to
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In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done
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tumor d seg
The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.Image segmentation is typically used to locate objects and boundaries
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In this project ,segmentation method that uses the k means technique to track tumor objects in magnetic resonance (MR) brain images. The method can segment MR brain images to help radiologists distinguish exactly lesion size and region.
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提出了一种基于数据集分割的极限学习机集成算法——DS-E-ELM.-Extreme Learning Machine proposed integration algorithm DS-E-ELM dataset based segmentation.
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FCM code of brain tumor image segmentation
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