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

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...

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Bibliographic Details
Main Authors: Şuayip Burak Duman, Ali Z. Syed, Duygu Celik Ozen, İbrahim Şevki Bayrakdar, Hassan S. Salehi, Ahmed Abdelkarim, Özer Celik, Gözde Eser, Oğuzhan Altun, Kaan Orhan
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Diagnostics
Subjects:
sella turcica
artificial intelligence
CBCT
convolutional neural network
Online Access:https://www.mdpi.com/2075-4418/12/9/2244

Internet

https://www.mdpi.com/2075-4418/12/9/2244

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