Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks

An accurate diagnosis of deep caries and pulpitis on periapical radiographs is a clinical challenge. A total of 844 radiographs were included in this study. Of the 844, 717 (85%) were used for training and 127 (15%) were used for testing the three convolutional neural networks (CNNs) (VGG19, Incepti...

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Veröffentlicht in:	Annals of translational medicine 2021-05, Vol.9 (9), p.763-763
Hauptverfasser:	Zheng, Liwen, Wang, Haolin, Mei, Li, Chen, Qiuman, Zhang, Yuxin, Zhang, Hongmei
Format:	Artikel
Sprache:	eng
Schlagworte:	Original
Online-Zugang:	Volltext
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