Wang QH, Ho JY, Huang TY, “Open-source segmentation toolbox for 4D Cardiac MRI: Enhancing U-Net Performance through Spatial-Temporal Features and Edge Labeling”
- This repo is only for CPU-based segmentation.
- For updated models , please visit: https://github.com/htylab/tigerhx
- This repo provides deep-learning methods for cardiac MRI segmentation
python comb.py c:\data\*.nii.gz -o c:\output
python comb.py c:\data\subject.nii.gz -o c:\output
python comb.py c:\data\subject.nii.gz
python comb.py c:\data\*.nii.gz -o c:\output -a # producing AHA segments with this option
- Please note that upon first use, the program will require an internet connection to download the model file.
- If you use this application, cite the following paper:
- Open-source segmentation toolbox for 4D Cardiac MRI: Enhancing U-Net Performance through Spatial-Temporal Features and Edge Labeling