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Deep-learning approach for caries detection and segmentation on dental bitewing radiographs

I. Ş. Bayrakdar, K. Orhan, Serdar Akarsu, Özer Çelik, S. Atasoy, Adem Pekince, Yasin Yasa, Elif Bilgir, Hande Sağlam, A. Aslan, A. Odabaş

2021.11.22Oral Radiology

DOI: 10.1007/s11282-021-00577-9

tlooto Summary

An automatic caries detection and segmentation model based on the Convolutional Neural Network algorithms in dental bitewing radiographs using VGG-16 and U-Net architecture is recommended and AI models showed superiority to assistant specialists comparing to human observer.

Abstract

Abstract is not available.

Citation format

BAYRAKDAR, I. Ş., et al. Deep-learning approach for caries detection and segmentation on dental bitewing radiographs. Oral Radiology, 2021, 38: 468–479.