A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal

Cristian Mercadante, Marco Cipriano, Federico Bolelli, Federico Pollastri, Mattia Di Bartolomeo, Alexandre Anesi, Costantino Grana

2021

Abstract

In recent years, deep learning has been employed in several medical fields, achieving impressive results. Unfortunately, these algorithms require a huge amount of annotated data to ensure the correct learning process. When dealing with medical imaging, collecting and annotating data can be cumbersome and expensive. This is mainly related to the nature of data, often three-dimensional, and to the need for well-trained expert technicians. In maxillofacial imagery, recent works have been focused on the detection of the Inferior Alveolar Nerve (IAN), since its position is of great relevance for avoiding severe injuries during surgery operations such as third molar extraction or implant installation. In this work, we introduce a novel tool for analyzing and labeling the alveolar nerve from Cone Beam Computed Tomography (CBCT) 3D volumes.

Paper Citation

in Harvard Style

Mercadante C., Cipriano M., Bolelli F., Pollastri F., Di Bartolomeo M., Anesi A. and Grana C. (2021). A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 724-731. DOI: 10.5220/0010392307240731

in Bibtex Style

@conference{visapp21,
author={Cristian Mercadante and Marco Cipriano and Federico Bolelli and Federico Pollastri and Mattia Di Bartolomeo and Alexandre Anesi and Costantino Grana},
title={A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={724-731},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010392307240731},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal
SN - 978-989-758-488-6
AU - Mercadante C.
AU - Cipriano M.
AU - Bolelli F.
AU - Pollastri F.
AU - Di Bartolomeo M.
AU - Anesi A.
AU - Grana C.
PY - 2021
SP - 724
EP - 731
DO - 10.5220/0010392307240731
PB - SciTePress