Table 12 Experiments result on OCT dataset
From: Deep convolutional neural network based medical image classification for disease diagnosis
No. | Model | Accuracy |
|---|---|---|
1 | Model2 with last ConvLayer | 0.934 |
2 | Model3 | 0.828 |
3 | Inceptionv3 Model2 | 0.791 |
4 | Model2 with last two unfrozen ConvLayer | 0.921 |
5 | VGG16 with last ConvLayer → 4096 FC → 0.7 | 0.954 |
Dropout → 2048 FC → 0.5 dropout | ||
6 | VGG16 with last ConvLayer → 4096 FC → 0.7 | 0.937 |
Dropout → 2048 FC → 0.7 | ||
Dropout → 2048 FC → 0.5 dropout | ||
7 | VGG16 with last ConvLayer → 4096 | 0.938 |
FC → 0.8 dropout → 2048 | ||
FC → 0.7 dropout |