Name
Abstract | ||
|---|---|---|
Cone-Beam Computer Tomography (CBCT) is a technique for capturing images of the maxillofacial region that provides tissue views with low radiation doses. Dental implant planning and management of endodontic problems are some of its main applications. In this work, we propose an automatic methodology to analyze the volumetric CBCT data in order to segment bone tissues in the mandible. The final goal is the development of a methodology for the automatic analysis of the bone features in CBCT modality. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CBMS.2014.93 | Computer-Based Medical Systems |
Keywords | Field | DocType |
bone,computerised tomography,image segmentation,medical image processing,CBCT modality,automatic bone features analysis,automatic mandible segmentation,cone-beam computer tomography images,mandible bone tissue segmentation,maxillofacial region images,tissue views,volumetric CBCT data analysis,Cone-Beam Computer Tomography,bone tissue segmentation,mandible segmentation | Computer vision,Computer science,Segmentation,Tomography,Dental implant,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2372-9198 | 1 | 0.36 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brandariz, M. | 1 | 1 | 0.36 |
| Noelia Barreira | 2 | 182 | 17.47 |
| Penedo, M.G. | 3 | 4 | 0.78 |
| Suarez-Cunqueiro, M. | 4 | 1 | 0.36 |