Description: 医学图像分割的matlab程序,针对脑部肿瘤图像,使用水平集方法划分出肿瘤区域,内部包含测试程序-Medical image segmentation matlab program for brain tumor imaging, using the level set method into the tumor region, the internal test procedures include Platform: |
Size: 7609344 |
Author:林平塔 |
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Description: 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 convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
-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 convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
Platform: |
Size: 2048 |
Author:pramod |
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Description: It is a matlab code for detecting brain tumor in MR images using CIELAB color space model segmentation. Platform: |
Size: 4096 |
Author:Somasekhar |
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Description: brain tumor detection and segmentation using biomedical images in matlab. this is very useful to detect the brain tumor of MRI images. Platform: |
Size: 1024 |
Author:manikandan |
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