Mandibular condyle detection using deep learning and double attractor-based energy valley optimizer algorithm

Mandibular condyle detection using deep learning and double attractor-based energy valley optimizer algorithm

Abstract The temporomandibular joint (TMJ) constitutes a bilateral ginglymoarthrodial joint, wherein each condyle interacts with its corresponding glenoid fossa of the temporal bone. There is a critical need to understand better and accurately characterize the temporomandibular joint’s diverse and v...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed Abd Elaziz, Abdelghani Dahou, Mushira Dahaba, Dina Mohamed ElBeshlawy, Mohammed Azmi Al-Betar, Mohammed A. Al-qaness, Ahmed A. Ewees, Arwa Mousa
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Oral Health
Subjects:
Condylar morphology
Energy valley optimizer algorithm
Feature selection
Double attractor
Metaheuristic
Online Access:https://doi.org/10.1186/s12903-025-05725-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12903-025-05725-9

Similar Items