Published February 15, 2024
| Version v1.0.0
Model
Open
The ULS23 Baseline Model
- 1. Department of Medical Imaging, Radboud University Medical Center, The Netherlands
Description
These are the model weights and the Grand Challenge algorithm container for the baseline model of the Universal Lesion Segmentation Challenge (ULS23). This algorithm can also be used directly from the Grand Challenge platform for use on novel data. The nnUnetv2 framework is required to load and work with the model weights stored in nnUNet_results.zip. The challenge repository contains the code required to build the algorithm image using the model weights.
Files
nnUNet_results.zip
Files
(6.5 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:75e0ee20043a901c5532afeaf764d638
|
1.1 GB | Preview Download |
|
md5:4312354c69532a3c0e6463a9f065f7e4
|
5.4 GB | Download |
Additional details
Software
- Repository URL
- https://github.com/MJJdG/ULS23/tree/main
- Programming language
- Python
- Development Status
- Active