SMART MOBILE APPLICATION TO ENHANCE LEARNING FOR DENTAL SCHOLARS

Abstract

This paper proposes survey to get the correct information about particular Patient and to reduce
human efforts. The user can maintain all the records about Patient Details, Appointments, Doctor Details,
Follow-ups and Bill and save it in the database. Enable the clinicians and administrators to search
documents and records by criteria such as patient name, date of birth, address, and medical condition from
within familiar Office applications. Classification of on the dental caries is important for the diagnosis and
treatment planning of the dental disease, which has been affecting a very large population throughout the
globe. It is also helpful for conducting detailed study and investigations about the nature of the dental
disease. Classification of dental diseases is decided on the basis of certain criteria, such as based on whether
the lesion is within the enamel, dentin or whether it touches the pulp. Dental caries are, clearly visible in the
x-ray changes and that can be detected from the caries lesion present in the radiographs. In this paper we
propose to show how image processing techniques will help check the 3D image and examine the extent to
which the caries lesion is present and then classify the type of caries present in the dental radiograph.