Caries Detection from Dental Images using Novel Maximum Directional Pattern (MDP) and Deep Learning

Various machine learning technologies and artificial intelligence techniques were applied on different applications of dentistry. Caries detection in orthodontics is a very much needed process. Computer-aided diagnosis (CAD) method used to detect caries dental radiographs. The feature extraction classification are involved the process images. In 2D images geometric methods features extracted then algorithms for classification. Different can also be combined fused classifiers support vector (SVM), deep learning, decision tree classifier (DT), Naïve Bayes (NB) classifier, k-nearest neighbor (KNN) random forest (RF) proposed MDP extracts both intensity edge information creates that increases accuracy during detection.