Stroke Classification On Ct Lesion Stroke
Métriques
Average Class Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Average Class Accuracy | Paper Title | Repository |
|---|---|---|---|
| PSO+CNN (Cifar-10, 75/25, Cranium Segmented) | 98.86 | Stroke lesion detection using convolutional neural networks | - |
| PSO+CNN (Cifar-10, 50/50, Original) | 93.46 | Stroke lesion detection using convolutional neural networks | - |
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