A 3D U-Net trained on CT scans can partially predict a synthetic missing ribcage segment treated as an implant, but accuracy is too low for clinical use.
All the experiments are performed on the RibFrac dataset compris- ing 300 training samples and 160 test cases to ensure robust validation of the model’s performance
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RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation
A 3D U-Net trained on CT scans can partially predict a synthetic missing ribcage segment treated as an implant, but accuracy is too low for clinical use.