| # all released gold standard segmentation of test data are encrypted. please use the "zxhCardMyoPSEvaluate" from zxhproj to evaluate the Dice score of the pathologies. | |
| # e.g. for test_201, the obtained myops is myseg_201_result.nii.gz, | |
| zxhCardMyoPSEvaluate.exe -evaps myops_test_201_gdencrypt.nii.gz myseg_201_result.nii.gz 1 | |
| success: open image myops_test_201_gdencrypt.nii.gz ! | |
| success: open image myseg_201_result.nii.gz ! | |
| dice_scar dice_edemascar | |
| 0.610000 0.655000 | |
| BTW: zxhCardMyoPSEvaluate.exe tool include two versions, i.e., one for windows and one for mac. | |
| For MacOSX, the command is similar, | |
| zxhCardMyoPSEvaluate -evaps myops_test_201_gdencrypt.nii.gz myseg_201_result.nii.gz 1 | |
| Note that before using this, one needs to set zxhCardMyoPSEvaluate to be an executable file using chmod. | |
| ## How to cite | |
| Please cite the following papers when you use the data for publications: | |
| [1] Xiahai Zhuang: Multivariate mixture model for myocardial segmentation combining multi-source images. IEEE Transactions on Pattern Analysis and Machine Intelligence (T PAMI), vol. 41, no. 12, 2933-2946, Dec 2019. | |
| [2] Xiahai Zhuang: Multivariate mixture model for cardiac segmentation from multi-sequence MRI. International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.581-588, 2016. |