Comments (4)
这是分割中很常见的情形,不同的病例分割难易度会不一样,因此我们设置了5-fold 交叉验证,这个病例也会不出现在测试集中。
通过violin/boxplot图能展示出这个分割精度低的病例。
from covid-19-ct-seg-benchmark.
非常抱歉回复晚,我们看到在task1的5折交叉验证中,上面提到的这个困难数据有4次出现在验证(测试)集中,想请问您所提到的测试数据是否是指单独进行测试的mosmed数据集,而不是在交叉验证过程中使用的验证(测试)数据?
from covid-19-ct-seg-benchmark.
是的,这个hard case会出现4次在测试集中。上面说的就是这个。
这是分割中很常见的情形,也是正常情形。
你为了指标好看,可以把这个病例剔除掉算,文中辅以显示的说明。
from covid-19-ct-seg-benchmark.
好的,感谢您的回复。
from covid-19-ct-seg-benchmark.
Related Issues (9)
- Where is the code and the notebooks from which the results were acquired ? HOT 1
- Feasibility of Few shot segmentation (specifically task 3) HOT 2
- About the patients of COVID-19-CT-Seg HOT 2
- Can nnUNet be used as a crop preprocessing in semi-supervised segmentation? HOT 4
- The MosMed dataset problem. HOT 1
- Request to use your COVID-19-CT-Seg segmentation dataset in our challenge HOT 2
- Can't find data HOT 1
- 5-fold cross-validation HOT 1
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from covid-19-ct-seg-benchmark.