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thewtex authored Jan 29, 2019
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About
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The National Library of Medicine Insight Segmentation and Registration Toolkit
(ITK), or Insight Toolkit, is an open-source, cross-platform C++ toolkit for
segmentation and registration. Segmentation is the process of identifying and
classifying data found in a digitally sampled representation. Typically the
sampled representation is an image acquired from such medical instrumentation
as CT or MRI scanners. Registration is the task of aligning or developing
correspondences between data. For example, in the medical environment, a
CT scan may be aligned with a MRI scan in order to combine the information
contained in both.

The toolkit may be built from source using [CMake](https://cmake.org).
The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for
N-dimensional scientific image processing, segmentation, and registration.
Segmentation is the process of identifying and classifying data found in a
digitally sampled representation. Typically the sampled representation is an
image acquired from such medical instrumentation as CT or MRI scanners.
Registration is the task of aligning or developing correspondences between
data. For example, in the medical environment, a CT scan may be aligned with a
MRI scan in order to combine the information contained in both.

ITK is distributed in binary Python packages. To install:

```
pip install itk
```

or

```
conda install -c conda-forge itk
```

The cross-platform, C++ core of the toolkit may be built from source using
[CMake](https://cmake.org).


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