Table 7 Comparative analysis of the proposed model performance.
From: Deep‑learning based osteoporosis classification in knee X‑rays using transfer‑learning approach
Study | Classifier | Accuracy | F1 Score | Recall | Precision | Total Images in Dataset |
|---|---|---|---|---|---|---|
Proposed Model | ResNet-50 with the help of Transfer learning | 90% | 89% | 89% | 89% | 372 |
VGG-16 without fine-tuning | 80% | 78% | 76% | 79% | 323 | |
VGG-16 with fine-tuning | 88% | 88% | 90% | 88% | ||
CNN model with 3 layers | 66% | 64% | 64% | 65% | 680 | |
ResNet-18 | 79% | 79% | 73% | 74% | 1131 | |
ResNet-50 | 83% | 80% | 82% | 80% | 902 |
