Intelligent Transfer Learning for Bitewing X-Ray Dental Caries Image Classification

Abstract

Abstract Dental carriers are found in humans as the most common and oldest diseases. Dental caries result from cariogenic bacteria of tooth adherence that cause prevalent chronic infection in teeth by metabolizing sugar for the production of acid that leads to demineralization of tooth structure over time.It is considered a major health problem worldwide almost all adults have the probability of getting affected by dental caries. Bitewing X-ray offers a medical diagnosis of changes below the gum line or decay between the teeth.The main focus of the study is to evaluate the application of deep learning models that include the Naïve Bayes classifier,K-Nearest Neighbour, and transfer learning like LeNet,VGGnet,ShuffleNet, and MobileNetfor the classification of by being X ray dental carries images.AI can provide an assistive diagnosis in the automatic detection of complex images efficiently in intraoral radiography for providing effective patient care.