Prediction of the Facial Growth Direction is Challenging
Stanisław Kaźmierczak,
Zofia Juszka,
Vaska Vandevska-Radunovic
et al.
Abstract:Facial dysmorphology or malocclusion is frequently associated with abnormal growth of the face. The ability to predict facial growth (FG) direction would allow clinicians to prepare individualized therapy to increase the chance for successful treatment. Prediction of FG direction is a novel problem in the machine learning (ML) domain. In this paper, we perform feature selection and point the attribute that plays a central role in the abovementioned problem. Then we successfully apply data augmentation (DA) met… Show more
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