Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network

The purpose of this study was to propose a continuity-aware contextual network (Canal-Net) for the automatic and robust 3D segmentation of the mandibular canal (MC) with high consistent accuracy throughout the entire MC volume in cone-beam CT (CBCT) images. The Canal-Net was designed based on a 3D U...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeoun, Bo-Soung, Yang, Su, Lee, Sang-Jeong, Kim, Tae-Il, Kim, Jun-Min, Kim, Jo-Eun, Huh, Kyung-Hoe, Lee, Sam-Sun, Heo, Min-Suk, Yi, Won-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356068/
https://www.ncbi.nlm.nih.gov/pubmed/35931733
http://dx.doi.org/10.1038/s41598-022-17341-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356068/
https://www.ncbi.nlm.nih.gov/pubmed/35931733
http://dx.doi.org/10.1038/s41598-022-17341-6

Ejemplares similares