This paper presents the development of an automatic system for the classification of tooth
wear disease diagnosis. Abnormal detection, disease detection and classification of oral …

Objectives: Early diagnosis of dental caries helps in maintaining good oral health. The
current study focuses on diagnosis of dental caries in dental radiographs through machine …

The process of analyzing the dental caries from the x-ray images is quite challenging in the
medical field. For the purpose of avoiding the approximation in deciding the diagnosis for …

Over the past few years, dental radiography has played an important role in clinical
diagnosis, treatment and surgery. Accordingly, extensive efforts have been done on …

The high cost of consulting and checking teeth or mouth makes residents reluctant to go to
the doctor. In order to facilitate the consultation, a system is needed that can predict the …

Artificial neural network (ANN), with its high performances in handling complex problems,
has been widely used in medical image processing for clinical diagnostic application. In this …

Recently, artificial neural network (ANNs) has been adopted widely for solving many
complex problems in different fields due to its high performance and its ability to generalize …

A number of patients with untreated caries only seek treatment at late stages when serious
complications might have already developed and can lead to significant acute and chronic …

Automated medical assistance system is in high demand with the advances in research in
the machine learning area. In many such applications, availability of labeled medical dataset …

Oral cancer is one of the most dangerous cancers which affects and originates from the oral
cavity and neck. Overuse of tobacco and smoking cigarettes are the primary risk factor for …