Evaluation of the effectiveness of panoramic radiography in impacted mandibular third molars on deep learning models developed with findings obtained with cone beam computed tomography.

Journal: Oral radiology

PMID: 39729224

Abstract

OBJECTIVE: The aim of this study is to determine the contact relationship and position of impacted mandibular third molar teeth (IMM) with the mandibular canal (MC) in panoramic radiography (PR) images using deep learning (DL) models trained with the help of cone beam computed tomography (CBCT) and DL to compare the performances of the architectures.

Authors

Mustafa Taha Güller

Department of Oral, Dental and Maxillofacial Radiology, Faculty of Dentistry, Giresun University, Giresun, 28200, Turkey.
Nida Kumbasar

TUBITAK BILGEM, Kocaeli, Turkey.
Ozkan Miloglu

Department of Oral Diagnosis and Dentomaxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, Turkey. omiloglu@hotmail.com.

Keywords

Adolescent Adult Cone-Beam Computed Tomography Deep Learning Female Humans Male Mandible Molar, Third Radiography, Panoramic Tooth, Impacted Young Adult

External Resources

View on PubMed Access via DOI PubMed (39729224)

Evaluation of the effectiveness of panoramic radiography in impacted mandibular third molars on deep learning models developed with findings obtained with cone beam computed tomography.

Abstract

Authors

Keywords

External Resources

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