Medical Image Classification On Isic 2017
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Beta-Rank | 72.44 | Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis |
0 of 1 row(s) selected.
各个模型在此基准测试上的表现结果
模型名称 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Beta-Rank | 72.44 | Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis |