Texture feature extraction for classification type bone in dental radiographs


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.

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

Text in Portuguese, with English title and abstract.

Fabrizzio Soares
Fabrizzio Soares
Associate Professor and CS Chair

Fabrizzio Soares is a professor of Computer Science, Information Systems and Software Engineering at INF/UFG. His research interests include Computer Vision, Human Computer Interaction, Machine Learning and Programming topics. He is the leader of the Pixellab group, which develops solutions for accesibilty, Precision Agriculture, and Interactive Systems.