https://github.com/abrie/tumor-gradient

Measuring a tumor's density gradient during treatment.
https://github.com/abrie/tumor-gradient

biomedical tumor-evolution

Last synced: 3 months ago
JSON representation

Measuring a tumor's density gradient during treatment.

• Host: GitHub
• URL: https://github.com/abrie/tumor-gradient
• Owner: abrie
• Created: 2019-08-01T12:27:29.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T22:26:08.000Z (almost 3 years ago)
• Last Synced: 2025-01-24T23:27:13.330Z (4 months ago)
• Topics: biomedical, tumor-evolution
• Language: Python
• Homepage:
• Size: 480 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Measuring Changes in Tumour Density

Given a series of [NIfTI](https://nifti.nimh.nih.gov/) images describing a tumour under treatment, measure changes in the tumour's [Hounsfield](https://en.wikipedia.org/wiki/Hounsfield_scale) radiodensity as a function of time.

A screenshot of the result:

![Alt text](screenshots/1.jpg?raw=true "Output screenshot")

## How to run it:

First, install dependencies:

```make install```

Third, run the tests:

```make test```

Do all tests pass without error?

If yes, you can run the app (assuming you have patient data available):

```make run```

## Note

No patient data has been committed to this repository.