Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data

Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data

Abstract Objective This study evaluates the performance of various classifiers and pre-trained models for dental implant state classification using preprocessed radiography images with masks. Methodology A dataset of 511 periapical images, including 275 for Bicon, 70 for Bego, and 166 for ITI implan...

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Bibliographic Details
Main Authors: Reza Ahmadi Lashaki, Zahra Raeisi, Nasim Razavi, Mehdi Goodarzi, Hossein Najafzadeh
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Oral Health
Subjects:
Dental implants radiography images
Classification
CNN
Pre-trained models
Online Access:https://doi.org/10.1186/s12903-025-05704-0
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https://doi.org/10.1186/s12903-025-05704-0

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