CephXNet: A Deep Convolutional Squeeze-and-Excitation Model for Landmark Prediction on Lateral Cephalograms

CephXNet: A Deep Convolutional Squeeze-and-Excitation Model for Landmark Prediction on Lateral Cephalograms

Cephalometric landmark identification is a crucial and significant procedure that is generally used for orthodontic treatment planning and diagnosis. Computer-aided fully automated solutions can assist orthodontists and orthognathic surgeons’ to precisely identify the landmarks from cepha...

Full description

Bibliographic Details
Main Authors: R. Neeraja, L. Jani Anbarasi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial deep neural networks
squeeze-and-excitation block
cephalometric landmark classification
landmark prediction
X-ray images
Online Access:https://ieeexplore.ieee.org/document/10225746/

Internet

https://ieeexplore.ieee.org/document/10225746/

Similar Items