Texture feature extraction for classification type bone in dental radiographs

Texture feature extraction for classification type bone in dental radiographs

Abstract

The scientific and technological imaging diagnosis advances has been contributing in different fields of health science. The new methods are not restricted to X-rays, but include other sources of energy, allowing the visualization of the various parts of the human body. Maintenance of bone after tooth loss to improve or maintain facial esthetics and improved retention, function, and performance of removable restorations are only some of the advantages for the edentulous patient. The combination of tools available for Computer Science, associated with diagnostic imaging has been shown to be a promising way to aid in the diagnostic steps and planning in dental implant field. Special emphasis has been given to computer vision, with the use of texture analysis methods. This preliminary study aims to verify the results obtained from the application of texture analysis in dental radiographs.

Publication
In Proceedings of 9th Brazilian Workshop on Computer Vision (WVC)
Date

Text in Portuguese, with English title and abstract.