Three-dimensional maxillary virtual patient creation by convolutional neural network-based segmentation on cone-beam computed tomography images

OBJECTIVE: To qualitatively and quantitatively assess integrated segmentation of three convolutional neural network (CNN) models for the creation of a maxillary virtual patient (MVP) from cone-beam computed tomography (CBCT) images. MATERIALS AND METHODS: A dataset of 40 CBCT scans acquired with dif...

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Detalles Bibliográficos
Autores principales: Nogueira-Reis, Fernanda, Morgan, Nermin, Nomidis, Stefanos, Van Gerven, Adriaan, Oliveira-Santos, Nicolly, Jacobs, Reinhilde, Tabchoury, Cinthia Pereira Machado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985582/
https://www.ncbi.nlm.nih.gov/pubmed/36114907
http://dx.doi.org/10.1007/s00784-022-04708-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985582/
https://www.ncbi.nlm.nih.gov/pubmed/36114907
http://dx.doi.org/10.1007/s00784-022-04708-2

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