GCN_with_displacement_camus_cv1_onnx

This model is trained on the CAMUS dataset: S. Leclerc, E. Smistad, J. Pedrosa, A. Ostvik, et al. "Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography" in IEEE Transactions on Medical Imaging, vol. 38, no. 9, pp. 2198-2210, Sept. 2019.

doi: 10.1109/TMI.2019.2900516

This model is part of the following work. You must cite this paper for any use of the model: G.Van De Vyver, S. Thomas, G. Ben-Yosef, S. H. Olaisen, H. Dalen, L. Løvstakken, and E. Smistad: “Towards Robust Cardiac Segmentation using Graph Convolutional Networks” in arXiv preprint arXiv:2310.01210, 2023, https://github.com/gillesvntnu/GCN_multistructure.git

The model is the .onnx version of the "GCN with displacement method" described in the work mentioned above. It is trained on the first split of the CAMUS dataset. Information on the splits of the CAMUS dataset can be found at: https://github.com/gillesvntnu/GCN_multistructure/tree/main/files/listSubGroups

The model can be directly used in the framework provided at https://github.com/gillesvntnu/GCN_multistructure/tree/main/files/subgroups_CAMUS

For the corresponding version in .pth format, see https://huggingface.co/gillesvdv/GCN_with_displacement_camus_cv1