https://github.com/rmnldwg/liver-smart

Data and analysis pipeline for a study on the potential advantages of daily adaptive liver SBRT performed at the University Hospital Zurich.
https://github.com/rmnldwg/liver-smart

data-analysis fractionation jupyter-notebook liver-cancer metastasis radiation-oncology stereotactic

Last synced: about 1 month ago
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Data and analysis pipeline for a study on the potential advantages of daily adaptive liver SBRT performed at the University Hospital Zurich.

• Host: GitHub
• URL: https://github.com/rmnldwg/liver-smart
• Owner: rmnldwg
• License: mit
• Created: 2020-11-17T16:51:17.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2021-07-01T08:14:58.000Z (over 4 years ago)
• Last Synced: 2023-10-20T22:51:36.629Z (over 2 years ago)
• Topics: data-analysis, fractionation, jupyter-notebook, liver-cancer, metastasis, radiation-oncology, stereotactic
• Language: Jupyter Notebook
• Homepage:
• Size: 17 MB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Benefit of MR-guided online adaptive radiation therapy in the treatment of oligometastatic hepatic malignancies - Analysis and data

Michael Mayinger, Roman Ludwig, Sebastian Christ, Alex Ryue, Nienke Weidkamp, Riccardo DalBello, Jan Unkelbach, Matthias Guckenberger, Stephanie Tanadini-Lang, Nicolaus Andratschke 

Department of Radiation Oncology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland

***

Data and analysis pipeline for a publication on the assessment of potential advantages through stereotactic MR-guided online adaptive radiation therapy (SMART) in the treatment of oligometastatic hepatic malignancies.

To follow the process, clone this repository to your PC \

``git clone https://github.com/rmnldwg/liver-smart.git`` \

then move into it \

``cd liver-smart`` \

and finally - assuming that you have jupyter and python 3 installed - launch a notebook server \

``jupyter notebook analysis_public.ipynb``