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- Review the updates on the dataset
- Check the follow-ups, consider splitting on a patient base, possibly stratifying also on real patients vs synthetic
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Hello! I would really appreciate your help. Thank you very much for the excellent work. I was trying to test the network mentioned in the title using 3UNet (python train_uncertainty_aware_mean_teacher…
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Hello,
I'm trying the code for the first time and I'm using the BRATS2019 dataset.
The following command gives an error:
`main.py brats2019_train --task="WT" --model="MultiscaleUNet3D" --batch_si…
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作者您好，非常感谢您优秀的工作， 请问会公布2D-Unet,ACDC上的测试代码吗
d123f updated
1 month ago
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您好，可以先开源BraTS2019数据预处理部分的代码吗
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Hello, we use brats2019 data set, our data set does not have validation labels, do you have any? Is uploaded where to view model accuracy, thanks for reply!
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Hello, First of all, thanks for the amazing work.
Question: I tried to train the Unet3D model on bratS 2018 dataset using the 'train_brats_2018_new.py'. but I got lower validation DSC and higher val…
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Thank you very much for your research. I have read your paper published on CVPR and I would like to run this code.
I obtained the BraTS dataset, but this is not the same as the input of the code. I…
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Thanks for ur great job, I'm trying apply it on 2D images which were created by 3D datas of Brats2019. All of them has the shape of (160, 160). Therefore, I set them in the same folder.Dataset is ok, …
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感谢您开源您们的代码，我是先读了您的文章才找到这个开源代码的，我想用您的代码来实现MRI分割（数据集是brats2019的训练数据和验证数据）。
想问您几个问题：
1.先运行preprocess.py对数据集进行n4 bias校正和归一化处理是么？我如果不进行n4 bias 校正，要重新设置哪些参数？而且不管是否进行n4 bias 校正，预处理后的数据格式都是一样的吗？
2.接下来运行run…