JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY, vol.122, no.4, pp.333-337, 2021 (SCI-Expanded)
Article / Article
JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY
Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
Impacted third molar, Mandibular canal, Artificial intelligence, Deep learning, CONVOLUTIONAL NEURAL-NETWORK, TEETH, CLASSIFICATION, DIAGNOSIS
Eskisehir Osmangazi University Affiliated:
Purpose: The aim of this study was to evaluate the diagnostic performance of artificial intelligence (AI) application evaluating of the impacted third molar teeth in Cone-beam Computed Tomography (CBCT) images.