Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs

The purpose of this investigation was to evaluate the diagnostic performance of two convolutional neural networks (CNNs), namely ResNet-152 and VGG-19, in analyzing, on panoramic images, the rapport that exists between the lower third molar (MM3) and the mandibular canal (MC), and to compare this pe...

Descripción completa

Detalles Bibliográficos
Autores principales: Lo Casto, Antonio, Spartivento, Giacomo, Benfante, Viviana, Di Raimondo, Riccardo, Ali, Muhammad, Di Raimondo, Domenico, Tuttolomondo, Antonino, Stefano, Alessandro, Yezzi, Anthony, Comelli, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381483/
https://www.ncbi.nlm.nih.gov/pubmed/37511816
http://dx.doi.org/10.3390/life13071441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381483/
https://www.ncbi.nlm.nih.gov/pubmed/37511816
http://dx.doi.org/10.3390/life13071441

Ejemplares similares