AI-driven segmentation of the pulp cavity system in mandibular molars on CBCT images using convolutional neural networks
Automated segmentation of the pulp cavity system may result in a fast and accurate 3D model, facilitating minimal-invasive endodontics and leading to higher efficiency of the endodontic workflow, enabling anticipation of complications.
Authors
- Rocharles Cavalcante Fontenele (ORCID: https://orcid.org/0000-0002-6426-9768)
- Renata Maíra de Souza Leal (ORCID: https://orcid.org/0000-0002-8448-6671)
- Reinhilde Jacobs (ORCID: https://orcid.org/0000-0002-3461-0363)
- Mohamed Slim
Institutions
- Saint Joseph University (LB)
- Karolinska Institutet (SE)
- Universidade Federal do Paraná (BR)
- KU Leuven (BE)
Publication Details
- Journal
- Clinical Oral Investigations
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1007/s00784-024-06009-2
- Citations
- 13
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.42
Funders
- Karolinska Institutet