Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images

The present study aims to validate the diagnostic performance and evaluate the reliability of an artificial intelligence system based on the convolutional neural network method for the morphological classification of sella turcica in CBCT (cone-beam computed tomography) images. In this retrospective...

Descripción completa

Detalles Bibliográficos
Autores principales: Duman, Şuayip Burak, Syed, Ali Z., Celik Ozen, Duygu, Bayrakdar, İbrahim Şevki, Salehi, Hassan S., Abdelkarim, Ahmed, Celik, Özer, Eser, Gözde, Altun, Oğuzhan, Orhan, Kaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498199/
https://www.ncbi.nlm.nih.gov/pubmed/36140645
http://dx.doi.org/10.3390/diagnostics12092244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498199/
https://www.ncbi.nlm.nih.gov/pubmed/36140645
http://dx.doi.org/10.3390/diagnostics12092244

Ejemplares similares