Table 5.
Number of frozen layers and trainable parameters for CXR C
| Models | Number of layers frozen | Trainable parameters (M) | % of total parameters |
|---|---|---|---|
| VGG19 | 19 | 4.72 | 23.6 |
| InceptionV3 | 279 | 6.073 | 27.9 |
| MobileNet | 75 | 1.59 | 49.4 |
| DenseNet121 | 224 | 4.4 | 62.5 |
Number of frozen layers and trainable parameters for CXR C
| Models | Number of layers frozen | Trainable parameters (M) | % of total parameters |
|---|---|---|---|
| VGG19 | 19 | 4.72 | 23.6 |
| InceptionV3 | 279 | 6.073 | 27.9 |
| MobileNet | 75 | 1.59 | 49.4 |
| DenseNet121 | 224 | 4.4 | 62.5 |