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DEEP LEARNING ALGORITHMS HAVE HIGH ACCURACY FOR AUTOMATED LANDMARK DETECTION ON 2D LATERAL CEPHALOGRAMS.

In The journal of evidence-based dental practice

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION : Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, Demarco F, Krois J. Clin Oral Investig. 2021 Jul;25(7):4299-4309.

SOURCE OF FUNDING : This study was self-funded by the authors and their institutions.

TYPE OF STUDY/DESIGN : Systematic review and meta-analysis.

Cao Lingyun, He Hong, Hua Fang

2022-Dec

Artificial intelligence, Cephalometric analysis, Deep learning, Landmark detection, Orthodontics