Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observers

OBJECTIVE: The aim of this study was to compare the diagnostic performance of convolutional neural networks (CNNs) with the performance of human observers for the detection of simulated periapical lesions on periapical radiographs. STUDY DESIGN: Ten sockets were prepared in bovine ribs. Periapical d...

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Veröffentlicht in:	ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY 2021-05, Vol.131 (5), p.610-616
Hauptverfasser:	Pauwels, Ruben, Brasil, Danieli Moura, Yamasaki, Mayra Cristina, Jacobs, Reinhilde, Bosmans, Hilde, Freitas, Deborah Queiroz, Haiter-Neto, Francisco
Format:	Artikel
Sprache:	eng
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