Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs

Cansu Görürgöz, Kaan Orhan, İbrahim Şevki Bayrakdar, Özer Çelik, Elif Bilgir, Alper Odabaş, Ahmet Faruk Aslan, Rohan Jagtap

Dentomaxillofacial Radiology · 2021 · 38 citations · 32 references

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Abstract

The study demonstrated the potential accuracy and efficiency of the CNN algorithm for detecting and numbering teeth. The deep learning-based methods can help clinicians reduce workloads, improve dental records, and reduce turnaround time for urgent cases. This architecture might also contribute to forensic science.

References

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