Javier Pérez de Frutos commited on
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+ # DeepDeformationMapRegistration
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+ Deep learning powered image to image registration, based on VoxelMorph
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+ # Usage
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+ The core functionality reside in DeepDeformationMapRegistration package, e.g., the augmentation layers, metrics, etc.
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+ Use the "MultiTrain" scripts to launch the trainings, providing the neccesary parameters. Those in the COMET folder accepts a .ini configuration file (see COMET/train_config_files for example configurations).
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+ Use Evaluate_network to test the trained models. On the Brain folder, use "Evaluate_network__test_fixed.py" instead.
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+ # Warning
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+ The code in this repo is in need of a thorough clean and refactoring. So expect the unexpected.