Cell Classification on Multiplexed Brain Image Dataset Set II (10-fold cross-validation)
95.59Average AccuracyDAMA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DAMAEpochs=500, Training Time=5h, Pre-training strategy=Pretrained on Set II2022.05 | 95.59 | 4.41 | |
| MoCo-v3Epochs=500, Training Time=6h, Pre-training strategy=Pretrained on Set II2022.05 | 95.21 | 4.79 | |
| DAMAEpochs=1000, Training Time=10h, Pre-training strategy=Pretrained on Set II2022.05 | 94.72 | 5.28 | |
| MoCo-v3Epochs=1000, Training Time=12h, Pre-training strategy=Pretrained on Set II2022.05 | 94.56 | 5.44 | |
| MAEEpochs=1600, Training Time=8h, Pre-training strategy=Pretrained on Set II2022.05 | 94.49 | 5.51 | |
| MAEEpochs=800, Training Time=4h, Pre-training strategy=Pretrained on Set II2022.05 | 94.35 | 5.65 | |
| Data2vecEpochs=800, Training Time=4h, Pre-training strategy=Pretrained on Set II2022.05 | 93.58 | 6.42 | |
| Data2vecEpochs=1600, Training Time=8h, Pre-training strategy=Pretrained on Set II2022.05 | 91.98 | 8.02 |