Retinal Oct Disease Classification On
Metriken
Acc
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Acc |
|---|---|
| improving-robustness-using-joint-attention | 99.68 |
| optic-net-a-novel-convolutional-neural | 96 |
| optic-net-a-novel-convolutional-neural | 87.63 |
| mobilenetv2-inverted-residuals-and-linear | 97.46 |
| improving-robustness-using-joint-attention | 100 |
| optic-net-a-novel-convolutional-neural | 97.46 |
| xception-deep-learning-with-depthwise-1 | 99.36 |
| deep-learning-is-effective-for-the | 87.63 |
| deep-residual-learning-for-image-recognition | 94.92 |
| optic-net-a-novel-convolutional-neural | 100 |
| improving-robustness-using-joint-attention | 99.36 |
| optic-net-a-novel-convolutional-neural | 93 |
| optic-net-a-novel-convolutional-neural | 99.36 |
| optic-net-a-novel-convolutional-neural | 94.92 |