Table 4 The macro-average performance metrics of DeepOpacityNet and other networks on the external validation datasets.
From: A deep network DeepOpacityNet for detection of cataracts from color fundus photographs
Dataset | Size | Network | Accuracy | Precision | Recall | F1 score | κ | AUC | AP |
|---|---|---|---|---|---|---|---|---|---|
SiMES Dataset | 5752 CFPs | VGG16 | 0.78 | 0.71 | 0.75 | 0.72 | 0.44 | 0.84 | 0.76 |
ResNet50 | 0.74 | 0.70 | 0.78 | 0.70 | 0.43 | 0.86 | 0.79 | ||
ResNet152V2 | 0.77 | 0.70 | 0.75 | 0.71 | 0.43 | 0.83 | 0.77 | ||
InceptionResNetV2 | 0.74 | 0.67 | 0.73 | 0.68 | 0.38 | 0.80 | 0.74 | ||
InceptionV3 | 0.77 | 0.70 | 0.74 | 0.71 | 0.42 | 0.82 | 0.76 | ||
Dense201 | 0.80 | 0.70 | 0.70 | 0.70 | 0.40 | 0.80 | 0.75 | ||
Xception | 0.80 | 0.71 | 0.68 | 0.69 | 0.39 | 0.81 | 0.76 | ||
DeepOpacityNet | 0.83 | 0.75 | 0.71 | 0.73 | 0.46 | 0.86 | 0.80 | ||
SCES Dataset | 5745 CFPs | VGG16 | 0.74 | 0.65 | 0.77 | 0.66 | 0.35 | 0.85 | 0.77 |
ResNet50 | 0.75 | 0.67 | 0.80 | 0.68 | 0.39 | 0.88 | 0.80 | ||
ResNet152V2 | 0.83 | 0.69 | 0.71 | 0.70 | 0.40 | 0.81 | 0.73 | ||
InceptionResNetV2 | 0.78 | 0.66 | 0.74 | 0.68 | 0.37 | 0.80 | 0.72 | ||
InceptionV3 | 0.82 | 0.68 | 0.73 | 0.70 | 0.40 | 0.82 | 0.74 | ||
Dense201 | 0.67 | 0.62 | 0.71 | 0.59 | 0.25 | 0.80 | 0.72 | ||
Xception | 0.80 | 0.67 | 0.73 | 0.69 | 0.38 | 0.81 | 0.74 | ||
DeepOpacityNet | 0.88 | 0.82 | 0.69 | 0.73 | 0.46 | 0.89 | 0.81 | ||
SINDI Dataset | 5591 CFPs | VGG16 | 0.82 | 0.69 | 0.77 | 0.71 | 0.43 | 0.85 | 0.76 |
ResNet50 | 0.80 | 0.69 | 0.81 | 0.71 | 0.44 | 0.88 | 0.78 | ||
ResNet152V2 | 0.87 | 0.73 | 0.66 | 0.69 | 0.38 | 0.83 | 0.73 | ||
InceptionResNetV2 | 0.86 | 0.71 | 0.68 | 0.70 | 0.39 | 0.82 | 0.73 | ||
InceptionV3 | 0.87 | 0.73 | 0.69 | 0.71 | 0.42 | 0.83 | 0.74 | ||
Dense201 | 0.80 | 0.66 | 0.73 | 0.68 | 0.36 | 0.82 | 0.73 | ||
Xception | 0.86 | 0.72 | 0.69 | 0.70 | 0.41 | 0.81 | 0.73 | ||
DeepOpacityNet | 0.88 | 0.79 | 0.67 | 0.71 | 0.42 | 0.88 | 0.78 |