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license: cc-by-4.0
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license: cc-by-4.0
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This model is trained on the CAMUS dataset:
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S. Leclerc, E. Smistad, J. Pedrosa, A. Ostvik, et al.
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"Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography"
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in IEEE Transactions on Medical Imaging, vol. 38, no. 9, pp. 2198-2210, Sept. 2019.
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doi: 10.1109/TMI.2019.2900516
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The model is the .onnx version of the U-Net1 model as described in the work mentioned above.
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It is trained on the first split of the CAMUS dataset.
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The model can be directly used in the framework provided at
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https://github.com/gillesvntnu/GCN_UNET_agreement_demo.git
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Unlike the nnU-Net model, the U-Net 1 model requires the input to be scaled to [0,1]
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Information on the splits of the CAMUS dataset can be found at:
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https://github.com/gillesvntnu/GCN_multistructure/tree/main/files/listSubGroups
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For the corresponding version in .pb format, see https://huggingface.co/gillesvdv/unet1_camus_cv1
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