Retinal Oct Disease Classification On Oct2017
Metrics
Acc
Sensitivity
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Acc | Sensitivity |
|---|---|---|
| rethinking-the-inception-architecture-for | 93.4 | 96.6 |
| rethinking-the-inception-architecture-for | 96.6 | 97.8 |
| optic-net-a-novel-convolutional-neural | 99.4 | 99.4 |
| optic-net-a-novel-convolutional-neural | 99.7 | 99.7 |
| matching-the-clinical-reality-accurate-oct | 99.69 | - |
| mobilenetv2-inverted-residuals-and-linear | 98.5 | 99.4 |
| improving-robustness-using-joint-attention | 77.4 | - |
| optic-net-a-novel-convolutional-neural | 99.3 | 99.3 |
| improving-robustness-using-joint-attention | 95.6 | - |
| optic-net-a-novel-convolutional-neural | 99.8 | 99.8 |
| deep-residual-learning-for-image-recognition | 99.3 | 99.3 |
| optic-net-a-novel-convolutional-neural | 93.4 | 96.6 |
| xception-deep-learning-with-depthwise-1 | - | 99.7 |
| optic-net-a-novel-convolutional-neural | 96.6 | 97.8 |
| improving-robustness-using-joint-attention | 92.4 | - |