Stroke Presence Classification on Stroke presence
98.7AccuracyStrokeNeXt-large
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| StrokeNeXt-largeLatency (s)=0.009, Throughput (img/s)=113, Peak GPU (GB)=4.95, FLOPs (G)=68.94, Params (M)=399.9, Train. time (h)=0.2452026.02 | 98.7 | 98.7 | 98.7 | 98.7 | 99.5 | 99.5 | 98.3 | 97 | 1.3 | 5.9 | |
| StrokeNeXt-tinyLatency (s)=0.002, Throughput (img/s)=570, Peak GPU (GB)=1.417, FLOPs (G)=8.977, Params (M)=57.6, Train. time (h)=0.0872026.02 | 97.8 | 97.8 | 97.8 | 97.8 | 98.6 | 98.7 | 97.1 | 95 | 2.1 | 5.3 | |
| VGG16Latency (s)=0.001, Throughput (img/s)=1750, Peak GPU (GB)=4.02, FLOPs (G)=15.519, Params (M)=134.2, Train. time (h)=0.0412026.02 | 89.4 | 89.3 | 89.4 | 89.3 | 91.8 | 85.8 | 82.2 | 65.7 | 14.2 | 18 | |
| Swin TransformerLatency (s)=0.002, Throughput (img/s)=363, Peak GPU (GB)=2.196, FLOPs (G)=10.55, Params (M)=87.1, Train. time (h)=0.0672026.02 | 89.3 | 89.3 | 89.2 | 89 | 93.9 | 89.9 | 85.9 | 75.1 | 9.4 | 9.9 | |
| ResNet152Latency (s)=0.001, Throughput (img/s)=1213, Peak GPU (GB)=1.298, FLOPs (G)=11.601, Params (M)=58.2, Train. time (h)=0.0462026.02 | 89.2 | 89.4 | 89.2 | 88.9 | 93.7 | 90.8 | 85.5 | 75.2 | 10.8 | 15.2 | |
| ConvNeXt-baseLatency (s)=0.002, Throughput (img/s)=444, Peak GPU (GB)=1.947, FLOPs (G)=15.425, Params (M)=87.5, Train. time (h)=0.0492026.02 | 87.9 | 87.8 | 87.9 | 87.9 | 93.7 | 89.1 | 85.7 | 72.3 | 12.3 | 17.4 | |
| ResNet50Latency (s)=0.001, Throughput (img/s)=2057, Peak GPU (GB)=1.034, FLOPs (G)=4.13, Params (M)=23.5, Train. time (h)=0.042026.02 | 87.5 | 87.9 | 87.5 | 87 | 92.6 | 89.3 | 82.7 | 71.1 | 12.5 | 16.4 | |
| MobileNetv2Latency (s)=0.001, Throughput (img/s)=3374, Peak GPU (GB)=0.868, FLOPs (G)=0.319, Params (M)=2.2, Train. time (h)=0.042026.02 | 86.5 | 86.3 | 86.5 | 86.2 | 93.8 | 89.4 | 82.8 | 68.5 | 12.1 | 15.4 |