Fully automated deep learning approach to dental development assessment in panoramic radiographs

• Egile Nagusiak: Seung-Hwan Ong (Egilea), Hyuntae Kim (Egilea), Ji-Soo Song (Egilea), Teo Jeon Shin (Egilea), Hong-Keun Hyun (Egilea), Ki-Taeg Jang (Egilea), Young-Jae Kim (Egilea)
• Formatua: Liburua
• Argitaratua: BMC, 2024-04-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Abstract Background Dental development assessment is an important factor in dental age estimation and dental maturity evaluation. This study aimed to develop and evaluate the performance of an automated dental development staging system based on Demirjian's method using deep learning. Methods T...