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Efficacy of deep learning models and dental professionals in identifying dental implants
0
Zitationen
4
Autoren
2025
Jahr
Abstract
YOLOv11 recognised most implant classes with over 90% accuracy, surpassing traditional manual techniques in implant detection. Although the model is dependable and efficient, certain aspects require improvement. The study also emphasises the significance of a region-specific approach for clinical relevance.
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