Project: Integrating 3D Landmark Detection Models #1594
Description
Draft Status
Done.
Category
Segmentation / Classification / Landmarking
Key Investigators
- Alexandra Ertl (German Cancer Research Center DKFZ, Germany)
Project Description
We developed a framework for 3D medical landmark detection, based on a U-Net and heatmap regression. The method was evaluated on several public datasets. We want to make these trained models available within a slicer extension.
Objective
Within the extension, users should be able to:
- Choose and run a model for prediction.
- Visualize predicted landmarks.
Approach and Plan
No response
Progress and Next Steps
Illustrations
No response
Background and References
The respective publication is currently under review for MIDL 2026 (https://openreview.net/forum?id=G2Dpy3hayS)