Toolboxes & Code Repositories

Landmarker

Library for (anatomical) landmark detection in images

software
Description:

Landmarker is a PyTorch-based toolkit for (anatomical) landmark detection in images. It is designed to be easy to use and to provide a flexible framework for state-of-the-art landmark detection algorithms for small and large datasets. Landmarker was developed for landmark detection in medical images.

More Information:

  • Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).

  • Responsible Research Lead: Sofie Van Hoecke

  • Authors: Jef Jonkers, Luc Duchateau, Glenn Van Wallendael, Sofie Van Hoecke

  • Programming Language: Python

  • Link to the website

  • Link to the repository

  • Categories: Images

Publications:

  • J. Jonkers, L. Duchateau, G. Van Wallendael, and S. Van Hoecke, “Landmarker : a toolkit for anatomical landmark localization in 2D/3D images,” SOFTWAREX, vol. 30, 2025.