Accuracy of AI-based binary classification for detecting malocclusion in the mixed dentition stage
Fig 5
Explicability results of the maxillary protrusion classification model.
(a) PI. (b) Representative photographic images of activation maps (frontal and left side images). Red areas indicate areas of particular focus for the AI model to make decisions. The model was built using the Elastic-Net Classifier (mixing alpha = 0.5/ Binomial Deviance) algorithm.