Deep learning algorithms for detecting fractured instruments in root canals.

Journal: BMC oral health

PMID: 39988714

Abstract

BACKGROUND: Identifying fractured endodontic instruments (FEIs) in periapical radiographs (PAs) is a critical yet challenging aspect of root canal treatment (RCT) due to anatomical complexities and overlapping structures. Deep learning (DL) models offer potential solutions, yet their comparative performance in this domain remains underexplored.

Authors

Ekin Deniz Çatmabacak

Department of Endodontics, Trakya University, Balkan Campus, Edirne, Turkey.
İrem Çetinkaya

Department of Endodontics, Trakya University, Balkan Campus, Edirne, Turkey. irem.cetinkaya@trakya.edu.tr.

Keywords

Algorithms Deep Learning Dental Instruments Dental Pulp Cavity Equipment Failure Humans Root Canal Therapy

External Resources

View on PubMed Access via DOI PubMed (39988714)

Deep learning algorithms for detecting fractured instruments in root canals.

Abstract

Authors

Keywords

External Resources

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