Performance of deep learning-based segmentation of soft tissue sarcoma by MRI sequence, tumor type and location
This repository provides the trained weights and usage guide for the segmentation model described in our paper.
Our model is built and trained using the nnU-Net v1 framework.
To use our model, please:
- Install the official
nnunet(v1) library. - Follow the standard nnU-Net directory structure for environment variables.
The best-performing 3D full-resolution model weights are available here:
- Google Drive: Download Weights
Usage:
Place the downloaded folder into your $RESULTS_FOLDER/nnUNet/3d_fullres/ directory. You can then run inference using:
nnUNet_predict -i INPUT_FOLDER -o OUTPUT_FOLDER -t TaskXXX_XXX -m 3d_fullres