Welcome to the AI for Oncology Lab public repository!
We are based at The Netherlands Cancer Institute, and our mission is to develop artificial intelligence innovations for the improvement of cancer diagnostics and therapy.
This repository contains all our tools, libraries, and frameworks that make it possible for us to achieve this mission through state-of-the-art AI solutions. We are committed to open science and open source, and we are making our best efforts to make our code and models as accessible as possible.
The repository hosts a wide range of projects and libraries related to:
- Deep learning for oncology: Models for cancer classification, grading, detection and more.
- Image processing: Efficient pipelines for working with gigapixel histopathology and medical images.
- Dataset management: Tools for handling large-scale datasets with distributed systems and shared memory.
- Clinical integration: Frameworks for translating AI research into clinical practice.
For more details and technical documentation, visit our project website.
We use Bazelisk to manage Bazel versions for building and testing.
To install Bazelisk, follow the instructions in the Bazelisk GitHub repository or install it using your package manager:
# Example for MacOS using Homebrew
brew install bazeliskYou can build and test the project with the following commands:
# Build the entire project
bazelisk build //...
# Run all tests
bazelisk test //...-
MacOS: You may need a
.bazelrc.localconfiguration file:echo "build --config=macos" > .bazelrc.local
-
Linux: Adjust your
.bazelrc.localfile as necessary for your distribution.
A huge thank you to our dedicated contributors and collaborators for their invaluable support in alphabetical order:
- Joren Brunekreef
- Eric Marcus
- Marek Oerlemans
- Ajey Pai Karkala
- Jonas Teuwen
- Vivien van Veldhuizen
- Tim Veenboer
Interested in contributing? Feel free to explore, fork the repository, and submit pull requests!
For major contributions, please get in touch with us via our lab website.
- Lab website: https://aiforoncology.nl/
- Project documentation and details: https://aifo.dev/
This project is licensed under the Apache 2.0 License. Feel free to use, modify, and distribute it under the terms of the license.
Thank you for your interest in our work!
Together, we are shaping the future of oncology with cutting-edge AI solutions.