| license: other | |
| tags: | |
| - medical | |
| - myocardium | |
| - 3d-segmentation | |
| - nnunet | |
| - cardiology | |
| - ct | |
| - non-contrast | |
| license_name: ai2lab | |
| license_link: LICENSE | |
| # ncLVMass-Net | |
| An AI model for left ventricular (LV) myocardium segmentation and mass quantification from non-contrast cardiac CT (NCCT) images. The model was trained with the [nnU-Net](https://github.com/mic-dkfz/nnunet) framework on 2,021 patients, all from Taiwan. It achieved an overall Dice score of 0.8827. To use it, provide an input image in NIfTI format (`.nii.gz`) and the model will output the myocardium mask, along with estimated LV mass. | |
| For more information, please refer to [GitHub page](https://github.com/AI-Application-and-Integration-Lab/ncLVMass-Net) |