Deep Learning-Based Assessment of the Relation Between the Third Molar and Mandibular Canal on Panoramic Radiographs Using Local, Centralized, and Federated Learning in a Simulated Multi-Center Setting

Impaction of the mandibular third molar in proximity to the mandibular canal increases the risk of inferior alveolar nerve injury. Panoramic radiography is routinely used to assess this relationship. Automated classification of molar–canal overlap could support clinical triage and reduce unnecessary...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Johan Andreas Balle Rubak, Sara Haghighat, Sanyam Jain, Mostafa Aldesoki, Akhilanand Chaurasia, Sarah Sadat Ehsani, Faezeh Dehghan Ghanatkaman, Ahmad Badruddin Ghazali, Julien Issa, Basel Khalil, Rishi Ramani, Ruben Pauwels
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2026-06-01
Σειρά:	Applied Sciences
Θέματα:	dental radiography third molar mandibular canal deep learning federated learning data heterogeneity
Διαθέσιμο Online:	https://www.mdpi.com/2076-3417/16/12/6154
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