A metaheuristic optimization-based approach for accurate prediction and classification of knee osteoarthritis

A metaheuristic optimization-based approach for accurate prediction and classification of knee osteoarthritis

Abstract Knee osteoarthritis (KOA) is a severe arthrodial joint condition with significant global socioeconomic consequences. Early recognition and treatment of KOA is critical for avoiding disease progression and developing effective treatment programs. The prevailing method for knee joint analysis...

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Bibliographic Details
Main Authors: Amal G. Diab, El-Sayed M. El-Kenawy, Nihal F. F. Areed, Hanan M. Amer, Mervat El-Seddek
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Knee osteoarthritis
Deep learning
Convolutional neural networks
Binary Greylag Goose optimizer
Online Access:https://doi.org/10.1038/s41598-025-99460-4
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