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these files inplement to segmentation for image and texture
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Segmentation of structure in medical images is an important research
topic. It has applications in patient diagnoses, image-guided
surgery, and medical data visualization. One approach to solving this
problem is the use of active contours or \s
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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
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Image-guided surgery is one other important application of segmentation.
Recent advances in technology have made it possible to acquire images
of the patient while the surgery is taking place. The goal is then to segment
relevant regions of int
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and split. Although this topological constraint may be reasonable in the
segmentation of the liver, it would certainly be undesirable when segmenting
blood vessels in an MR image.
An algorithm to overcome these diculties was rst introduced by
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and split. Although this topological constraint may be reasonable in the
segmentation of the liver, it would certainly be undesirable when segmenting
blood vessels in an MR image.
An algorithm to overcome these diculties was rst introduced by
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The picture division and the characteristic withdraw, matlab development environment
[all-cncut.tar.gz] - Foreigner to write matlab code for image segmentation, which is described in detail
[fenshuiling.rar] - Can be used for medical image pr
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