Medical practice in general, and dentistry in particular, generates
data sources, such as high-resolution medical images and electronic
medical records. Digital image processing algorithms take
advantage of the datasets, enabling the development of dental applications
such as tooth, caries, crown, prosthetic, dental implant, and
endodontic treatment detection, as well as image classification. The
goal of image classification is to comprehend it as a whole and classify
the image by assigning it to a specific label. This work presents
the proposal of a tool that helps the dental prosthesis specialist to
exchange information with the laboratory. The proposed solution
uses deep learning to classify image, in order to improve the understanding
of the structure required for modeling the prosthesis. The
image database used has a total of 1215 images. Of these, 60 were
separated for testing. The prototype achieved 98.33% accuracy.