| 1 |
csabAIbio |
0.5222186 |
csabAIbio ensemble comb1 |
2023-01-11T16:21:49.000000Z |
| 2 |
Bonaventure Dossou |
0.5543481 |
Deep Ensembles of 8 models with mixed learning rates, batch_size: 32, n_epochs: 50, and AdamW optimizer |
2023-01-09T03:25:59.000000Z |
| 3 |
PKU-Edinburgh |
0.5895417 |
Resnet50 & SwinLarge Ensemble |
2022-12-20T15:24:34.000000Z |
| 4 |
Equitech Research Labs |
0.6353726 |
ResNet34 with new data, using MLP regression model with 0.612 MSE |
2023-01-05T23:36:27.000000Z |
| 5 |
tp_jh_hw_brca_nov_2022 |
0.7399518 |
tp_jh_brca_nov_2022: fine tuned EfficientNet |
2023-01-12T19:22:46.000000Z |
| 6 |
Nightingale benchmark - ResNet18 with entire slides downsampled to 224x224 |
0.7426637 |
resnet18 basic |
2022-09-27T14:07:21.000000Z |
| 7 |
Nightingale benchmark - Predicting stage one for all holdout biopsies |
0.7878104 |
A submission of all stage one |
2022-09-26T21:10:59.000000Z |
| 8 |
Breast cancer |
0.7878104 |
This is sample submission |
2022-12-29T07:33:42.000000Z |
| 9 |
Breast Cancer Project |
0.9364919 |
V0.1 |
2022-11-14T22:21:30.000000Z |