/Medical_Image_Analysis_Workshop

Workshop on Medical Image Analysis using pydicom, SimpleITK, ITK, itkwidgets, numpy, seaborn, and matplotlib

Primary LanguageJupyter NotebookBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

Binder

Installation

  1. To set the virtual environment to run this tutorial we will use conda. If you do not have you can install one of these two options:
  1. Clone this repository or download the .zip file to your documents folder (to clone the repository you need to have git install):
  • clone repository in Windows using the following commands on your Anaconda Powershell Prompt (replace <current_user> by your user name):
  cd C:\Users\<current_user>\Documents\
  git clone https://github.com/JoaoSantinha/Medical_Image_Analysis_Workshop.git
  • clone repository in Mac/Linux using the following commands on your terminal:
  cd ~/Documents
  git clone https://github.com/JoaoSantinha/Medical_Image_Analysis_Workshop.git
  1. Then create environment (called MIAW) and install required packages automatically:
  cd Medical_Image_Analysis_Workshop
  conda env create -f environment.yml
  1. Activate environment and install required Jupyter Lab extensions:
  conda activate MIAW
  conda install -c conda-forge nodejs
  npm install -g configurable-http-proxy
  jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib jupyterlab-datawidgets itkwidgets