ARTIFICIAL INTELLIGENCE

Deep learning tools for dentomaxillofacial application


The use of Artificial Intelligence methods in dental practice, such as deep learning, brings new perspectives for the diagnosis, classification and prediction of oral diseases, for treatment planning, and for the evaluation and prediction of outcomes. Deep convolutional neural networks hold promise to improve both quality and quantity of future image processing, and may help radiologists to analyze images that contain vast data information This project aims to evaluate the performance of combined deep convolutional neural networks for automatic tooth segmentation on dental panoramic radiographs (2D segmentation) and on CBCT scans (3D Segmentation).

contact:

Andre Leite

andreleite@unb.br


CONTACT US


Kapucijnenvoer 33

3000 Leuven, Belgium


info@omfsimpath.be


RESEARCH COORDINATOR

Prof. dr. Reinhilde Jacobs

reinhilde.jacobs@uzleuven.be


RESEARCH ADMINISTRATION

Gabriela Casteels

gabriela.casteels@kuleuven.be


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