Instructors:
- Matt McCormick, PhD
- Dženan Zukić, PhD
- Francois Budin
The Insight Segmentation and Registration Toolkit (ITK) (www.itk.org) has become a standard in academia and industry for medical image analysis. In recent years, the ITK community has focused on providing programming interfaces to ITK from Python and JavaScript and making ITK available via leading applications such as Slicer and ImageJ. In this course we present best practices for taking advantage of ITK in your imaging research and commercial products. We demonstrate how script writing and can be used to access the algorithms in ITK and the multitude of ITK extensions that are freely available on the web.
There are many ways to run these tutorials.
To run the notebooks in MyBinder, simply click this link.
First, install Docker, if not already available.
Next, clone the repository:
git clone https://github.com/KitwareMedical/2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualization.git
cd 2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualizationThen, build and run the Docker image:
./build.sh
./run.shPaste the URL presented in the terminal in your web browser.
First, install Python, if not already available.
Next, install the required dependencies:
python -m pip install jupyter matplotlib numpy scipy ipywidgets scikit-learn
python -m jupyter nbextension enable --py widgetsnbextension
python -m pip install itkwidgets
python -m jupyter nbextension enable --py --sys-prefix itkwidgets
python -m pip install itk itk-texturefeatures itk-ultrasoundThen, clone the repository:
git clone https://github.com/KitwareMedical/2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualization.git
cd 2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualizationAnd start Jupyter:
python -m jupyter notebookFirst, install MiniConda or Anaconda, if not already available.
Next, install the required dependencies:
conda install -c conda-forge jupyter matplotlib numpy scipy ipywidgets scikit-learn
python -m pip install itkwidgets
python -m jupyter nbextension enable --py --sys-prefix itkwidgets
python -m pip install itk itk-texturefeatures itk-ultrasoundThen, clone the repository:
git clone https://github.com/KitwareMedical/2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualization.git
cd 2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualizationAnd start Jupyter:
python -m jupyter notebook
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent