Boilerplate example code for adapting home-brewed deep learning models to use with the CERR Auto-Segmentation Pipeline.
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Updated
Jan 29, 2021 - Python
Boilerplate example code for adapting home-brewed deep learning models to use with the CERR Auto-Segmentation Pipeline.
Deep learning model for automated CT segmentation of swallowing and chewing structures (masseters, pterygoids, larynx, pharyngeal constrictor). Prospectively validated. Research use only.
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