Federated Learning-Based CNN Models for Orthodontic Skeletal Classification and Diagnosis

Federated Learning-Based CNN Models for Orthodontic Skeletal Classification and Diagnosis

<b>Background/Objectives:</b> Accurate skeletal classification is essential for orthodontic diagnosis. This study evaluates the effectiveness of federated convolutional neural network (CNN) models for skeletal classification using cephalometric images from the ISBI and Dicle datasets. Th...

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Bibliographic Details
Main Authors: Demet Süer Tümen, Mehmet Nergiz
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
federated learning
convolutional neural network
orthodontic skeletal classification
cephalometric images
DenseNet121
spatial attention
Online Access:https://www.mdpi.com/2075-4418/15/7/920
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