https://github.com/menchelab/radipop

Predicting portal hypertension outcomes from abdominal CT scans
https://github.com/menchelab/radipop

Last synced: about 1 year ago
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Predicting portal hypertension outcomes from abdominal CT scans

• Host: GitHub
• URL: https://github.com/menchelab/radipop
• Owner: menchelab
• Created: 2019-12-06T08:54:27.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-02-28T22:01:09.000Z (over 4 years ago)
• Last Synced: 2025-02-05T20:01:56.336Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 122 MB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# radipop

Predicting portal hypertension outcomes from abdominal CT scans

## Installation/dependencies 

    #Create and activate conda environment 

    conda create --name radipop python=3.7

    conda activate radipop 

    #Install dependencies 

    conda install pip 

    pip install -r requirements.txt

    

    

## Usage

To start the graphical user interface: 

    python segmentation.py 

    

The slices (.png) and mask (.p) files must be put in the directories as follows: 

    #Slices (.png files) --> one directory per patient, directory name (PATIENT_ID) must be integer

    assets/niftynet_raw_images/PATIENT_ID/

    

    #Masks (.p files) --> one directory per patient, directory name (PATIENT_ID) must be integer

    assets/masks/PATIENT_ID/