The dataset contains the NIfTI-1 cardiac cine-MRI data. Including:
Training set:
20 healthy patients;
20 patients with previous myocardial infarction;
20 patients with dilated cardiomyopathy;
20 patients with an hypertrophic cardiomyopathy;
20 patients with abnormal right ventricle;
Test set:
10 healthy patients;
10 patients with previous myocardial infarction;
10 patients with dilated cardiomyopathy;
10 patients with an hypertrophic cardiomyopathy;
10 patients with abnormal right ventricle;
Citation:
O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, et al.
"Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation
and Diagnosis: Is the Problem Solved ?"
in IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2514-2525, Nov. 2018
doi: 10.1109/TMI.2018.2837502
This PR is for CS598 SP24 Extra Credit: Added the the Automated Cardiac Diagnosis Challenge (ACDC) dataset. Contributed by Sherry Li (NetID: xuehail2). URL: https://www.creatis.insa-lyon.fr/Challenge/acdc/databases.html
The dataset contains the NIfTI-1 cardiac cine-MRI data. Including:
Training set:
Test set:
Citation: O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, et al. "Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved ?" in IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2514-2525, Nov. 2018 doi: 10.1109/TMI.2018.2837502