The invention discloses a children sagittal bone face type AI screening model based on facial features and a method thereof, and belongs to the technical field of
artificial intelligence auxiliary screening. A 90-degree side appearance picture is used as a main
view angle image, a 45-degree side appearance picture and a front smile picture are used as auxiliary
view angle images to construct a main and auxiliary
view angle feature fusion model, and through
feature extraction,
feature fusion and classification, probability distribution of samples in three categories of bony I, bony II and bony III is output. Compared with a single-view-angle classification model, the main and auxiliary view angle
feature fusion model has the advantages that the
recall rate, the specificity, the F1
score, the accuracy rate and the area under an ROC curve are improved, and by taking the model 7 as an example, the classification
performance comparison with orthodontic doctors with different clinical experiences (primary, intermediate and high-grade) on an independent
test set shows that the model 7 has the advantages that the accuracy is high; the model 7 is obviously superior to primary and intermediate orthodontic doctors in the aspects of
macro average and overall accuracy of various indexes, and most of the indexes exceed those of advanced orthodontic doctors.