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Analysis of the feasibility of using deep learning for multiclass classification of dental anomalies on panoramic radiographs.

Dental materials journal
The aim of the feasibility study was to construct deep learning models for the classification of multiple dental anomalies in panoramic radiographs. Panoramic radiographs with single supernumerary teeth and/or odontomas were considered the "case" gro...