Accuracy And Generalizability of an Open-Source Deep Learning Model For Facial Bone Segmentation on CT and CBCT Scans

2025-12-29 dentistry and oral medicine Title + abstract only

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AimTo evaluate the accuracy and generalizability of DentalSegmentator, an open-source deep learning tool, for automated segmentation of skeletal facial surfaces from computed tomography (CT) scans acquired under different imaging conditions. Materials and MethodsTen human skulls were scanned using a CT scanner and three cone beam CT (CBCT) protocols (including an ultra-low-dose protocol) on two CBCT devices. High-accuracy reference surface models were acquired using an optical scanner. CBCT an ...