Evaluation of maxillary sinusitis from panoramic radiographs and cone-beam computed tomographic images using a convolutional neural network

Purpose: This study developed a convolutional neural network (CNN) model to diagnose maxillary sinusitis on panoramic radiographs(PRs) and cone-beam computed tomographic (CBCT) images and evaluated its performance. Materials and Methods: A CNN model, which is an artificial intelligence method, was u...

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Veröffentlicht in:	Imaging science in dentistry 2022, Vol.52 (52), p.187-195
Hauptverfasser:	Serindere, Gozde, Bilgili, Ersen, Yesil, Cagri, Ozveren, Neslihan
Format:	Artikel
Sprache:	kor
Online-Zugang:	Volltext
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