Table10.
Experiment-16 | Metric-1 | Metric-2 | Metric-3 |
---|---|---|---|
Image nets | F1 | AUC | Accuracy |
DenseNet53 + MobileNetv2 + ResNet-101 + NASNetLarge + Xception + GoogLeNet | 0.9156 | 0.9063 | 0.9074 |
LSTMCNN | 0.8765 | 0.91368 | 0.8936 |
ResNet-101V2 | 0.9111 | 0.8993 | 0.9054 |
U-Net(Glaucoma) | 0.8623 | 0.8836 | 0.8845 |
COVID research paper | 0.9012 | 0.90014 | 0.8856 |
NasNetLarge | 0.8745 | 0.91141 | 0.8763 |
Self-Made Model | 0.9123 | 0.91256 | 0.8934 |