作者: Davida Kornreich , Adele A. Mitchell , Bryn D. Webb , Ingrid Cristian , Ethylin Wang Jabs
DOI: 10.1597/13-353
关键词: Word error rate 、 Asymmetry 、 Artificial intelligence 、 Repeatability 、 Statistics 、 Standard deviation 、 Medicine 、 Facial symmetry 、 Photogrammetry 、 Landmark 、 Pattern recognition 、 Root mean square
摘要: Objective: Comparison of global versus landmark analyses facial asymmetry using three-dimensional photogrammetry to establish a precise method for evaluating asymmetry. Design: The landmark-based approach utilized anthropometric data points. Our involved registration mirror images, independent midplane, calculate root mean square (RMS) value. We analyzed precision and technical operator error both methods. Participants: Three hundred fifty adults participated in this study. Results: found that the has better repeatability with significantly lower rate than method. In adults, average RMS was 0.6253 mm standard deviation 0.16. Conclusions: measurement is more accurate measurements. This quick, reliable, results generation score corresponding color-coded map highlights regions higher T...