INTERNATIONAL ENDODONTIC JOURNAL, vol.53, no.5, pp.680-689, 2020 (SCI-Expanded)
Article / Article
INTERNATIONAL ENDODONTIC JOURNAL
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, EMBASE, MEDLINE
artificial intelligence, cone-beam computed tomography, deep learning, periapical pathology, CONVOLUTIONAL NEURAL-NETWORKS, APICAL PERIODONTITIS, DIAGNOSTIC-ACCURACY, FRACTURE DETECTION, ROOT RESORPTION, DEEP, RADIOGRAPHY, TEETH, CLASSIFICATION, LESIONS
Eskisehir Osmangazi University Affiliated:
Aim To verify the diagnostic performance of an artificial intelligence system based on the deep convolutional neural network method to detect periapical pathosis on cone-beam computed tomography (CBCT) images.