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September 10, 2025Scientific ReportsOpen Access

Lightweight early detection of knee osteoarthritis in athletes

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This approach reveals improved accuracy in detecting osteoarthritis stages in athletes, suggesting efficient automated diagnostics.

The proposed model achieves superior accuracy and precision in detecting early-stage osteoarthritis.
Using the Knee Osteoarthritis Severity Grading Dataset, the model outperforms traditional architectures like ResNet-50.
EfficientNet-B0 combined with Efficient Channel Attention enhances the model's computational efficiency.
Class Activation Maps confirm the model's ability to identify key features indicative of osteoarthritis progression.

Abdusalomov et al. (2025) studied this question.

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