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Description: This case study shows how MATLAB can be used for a medical imaging problem. Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present. This example was developed for seminars. It was also used for webinars for medical applications broadcast live on May 6, 2004.
This package includes some MATLAB code and an MRI scan series consisting of 60 DICOM images. Note that this code relies on MATLAB Central submissions from others. Detailed references to those sources are included.
Platform: |
Size: 2751095 |
Author: ROGER |
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Description: This case study shows how MATLAB can be used for a medical imaging problem. Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present. This example was developed for seminars. It was also used for webinars for medical applications broadcast live on May 6, 2004.
This package includes some MATLAB code and an MRI scan series consisting of 60 DICOM images. Note that this code relies on MATLAB Central submissions from others. Detailed references to those sources are included.
Platform: |
Size: 2750464 |
Author: ROGER |
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Description: 基于MRI的脑组织分割。首先从给定的MRI图像中得到脑区域，而后计算脑容积；再得到脑白质灰质区域，并计算百分比。-Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present.
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Size: 2721792 |
Author: meng |
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Description: 老外写的一个matlab分割脑部医学图像的程序，值得学习！-This case study shows how MATLAB can be used for a medical imaging problem. Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present. This example was developed for seminars. It was also used for webinars for medical applications broadcast live on May 6, 2004.
This package includes some MATLAB code and an MRI scan series consisting of 60 DICOM images. Note that this code relies on MATLAB Central submissions from others. Detailed references to those sources are included.
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Size: 2726912 |
Author: fi2008 |
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Description: The segmentation of structure from 2D and 3D images is an important rst
step in analyzing medical data. For example, it is necessary to segment the
brain in an MR image, before it can be rendered in 3D for visualization
purposes. Segmentation can also be used to automatically detect the head
and abdomen of a fetus from an ultrasound image. The boundaries can
Platform: |
Size: 143360 |
Author: patel |
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Description: The segmentation of structure from 2D and 3D images is an important rst
step in analyzing medical data. For example, it is necessary to segment the
brain in an MR image, before it can be rendered in 3D for visualization
purposes. Segmentation can also be used to automatically detect the head
and abdomen of a fetus from an ultrasound image. The boundaries can
Platform: |
Size: 143360 |
Author: patel |
Hits:
Description: The segmentation of structure from 2D and 3D images is an important rst
step in analyzing medical data. For example, it is necessary to segment the
brain in an MR image, before it can be rendered in 3D for visualization
purposes. Segmentation can also be used to automatically detect the head
and abdomen of a fetus from an ultrasound image. The boundaries can
Platform: |
Size: 148480 |
Author: patel |
Hits:
Description: The segmentation of structure from 2D and 3D images is an important rst
step in analyzing medical data. For example, it is necessary to segment the
brain in an MR image, before it can be rendered in 3D for visualization
purposes. Segmentation can also be used to automatically detect the head
and abdomen of a fetus from an ultrasound image. The boundaries can
Platform: |
Size: 153600 |
Author: patel |
Hits:
Description: 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. we can use T1 and T2 weighted brain image.
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Size: 1131520 |
Author: vasanth |
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Description: This program segment the tumor present in brain image. Sine brain symmetric about central axis brain is divided into 2 equal halves about the central axis.Histogram of both the part is taken. based on the histogram threshold is set.Result of segmentation is the segmented tumor.
Platform: |
Size: 9216 |
Author: shashank |
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Description: 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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Size: 1002496 |
Author: farah |
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