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

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. This study was self-funded by the authors and their institutions....

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Bibliographic Details
Published inThe journal of evidence-based dental practice Vol. 22; no. 4; p. 101798
Main Authors CAO, LINGYUN, HE, HONG, HUA, FANG
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.12.2022
Subjects
Algorithms
Artificial intelligence
Cephalometric analysis
Cephalometry
Deep Learning
Humans
Landmark detection
Meta-Analysis as Topic
Orthodontics
Radiography
Systematic Reviews as Topic
Deep learning
Cephalometric analysis
Artificial intelligence
Orthodontics
Landmark detection
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Summary: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. This study was self-funded by the authors and their institutions. Systematic review and meta-analysis.
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ISSN:1532-3382
1532-3390
1532-3390
DOI:10.1016/j.jebdp.2022.101798