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A New Superfluity Deep Learning Model For Detecting Knee Osteoporosis and Osteopenia in X-Ray Images by nasserhr2025 is a document available to read on EtoBox.
This study introduces a novel deep learning model utilizing a superfluity mechanism to classify knee X-ray images into osteoporosis, osteopenia, and normal categories. The proposed model outperformed pre-trained models like AlexNet and ResNet50, achieving accuracies of 85.42% and 79.39% on two datasets, respectively. The research highlights the potential of this approach to enhance clinical efficiency and accuracy in detecting knee osteoporosis and osteopenia, providing a cost-effective alternative to tradi
- Author
- nasserhr2025
- Language
- EN