Image segmentation techniques application for the diagnosis of dental caries
Abstract:
The diagnosis of a patient with caries is a process performed by oral health professionals, who after auscultation on the dental surfaces, determine the degree of affectation, following the visual inspection protocols, which present international standards. In recent years, there has been a growing interest in developing new techniques that allow the establishment of medical diagnoses, supported by information technologies, specifically in the early detection of diseases to apply the respective treatments. This work presents a method to determine the level of affectation of caries in the oral cavity, which applies a classifier that consists of 5 phases: capture, preprocessing, segmentation, extraction of characteristics and classification of objects. The proposed methodology considers a bank of images of dental pieces, all extracted from private dental clinics, as well as from the Integral Clinic CIAM II, which pertains to …
Año de publicación:
2020
Keywords:
Fuente:

Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Visión por computadora
- Odontología
- Ciencias de la computación
Áreas temáticas:
- Fisiología humana