Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

This study evaluated the use of a deep-learning approach for automated detection and numbering of deciduous teeth in children as depicted on panoramic radiographs. An artificial intelligence (AI) algorithm (CranioCatch, Eskisehir-Turkey) using Faster R-CNN Inception v2 (COCO) models were developed t...

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Veröffentlicht in:	Dento-maxillo-facial radiology 2021-09, Vol.50 (6), p.20200172-20200172
Hauptverfasser:	Kılıc, Münevver Coruh, Bayrakdar, Ibrahim Sevki, Çelik, Özer, Bilgir, Elif, Orhan, Kaan, Aydın, Ozan Barıs, Kaplan, Fatma Akkoca, Sağlam, Hande, Odabaş, Alper, Aslan, Ahmet Faruk, Yılmaz, Ahmet Berhan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Child Humans Radiography, Panoramic Tooth Tooth, Deciduous Turkey
Online-Zugang:	Volltext
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