Comments (5)
csuquan
commented on June 2, 2024
1
@tkuanlun350
The brats'18 challenge reopened their online evaluation.
You could find the evaluation function here: https://ipp.cbica.upenn.edu/
:)
I got the abnormally result because I submitted the wrong data.
Now I submit the right data and I get a right score.
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csuquan
commented on June 2, 2024
或者还需要修改哪里才能获得比较好的结果呢
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tkuanlun350
commented on June 2, 2024
How's your offline evaluation score ?
The leaderboard should close to README
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yangglebin
commented on June 2, 2024
@csuquan can you give me the brats18 test data? or give me a link to download the data?
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zhangshuang317
commented on June 2, 2024
@tkuanlun350
你好！我用brats18的数据跑了一下这个代码，为什么结果这么差呀
我的操作：
1.搭好环境
2.下好数据
3.用GPU运行train.py
结果：
1.控制台的显示
image2.但是我把结果提交了一下
结果是：Mean,0.0185,0.08663,0.03826,0.02226,0.09266,0.04924,0.97589,0.9431,0.95617,60.53925,54.86339,60.90156
只有 0.0几的dice loss。特别差。可以给我看一下哪里出问题了吗
你好我现在训练到第三轮，耗时很长，和你展示的训练结果差不多，请问这个数据效果对吗，后期可以运行出正确结果吗？
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Related Issues (20)
- AssertionError HOT 6
- How can I get the gif image like in your readme? HOT 5
- dataset structure HOT 1
- unrecognized arguments: --logdir=./train_log/unet3d --gpu 0
- Training error: CUDA_ERROR_OUT_OF_MEMORY HOT 12
- why i run 'python3 train.py --logdir=./train_log/unet3d --gpu 0' doesn't produce 'train_log/unet3d/model-30000'
- Training With Google Colab HOT 2
- Could you please add the testing result for brats 2018?
- TypeError: join() argument must be str or bytes, not 'list'
- ValueError: Layer named InstanceNorm5d is already registered!
- Running Op sync_variables_from_main_tower...
- Low GPU utilization rate
- ImportError: cannot import name 'Iterator' from 'tensorflow.contrib.data'
- cannot import name 'get_tf_version_number' from 'tensorpack.tfutils.common' HOT 2
- To Set up enviroment......
- No idea of how to save a model in python, help :)
- "Dimension 0 in both shapes must be equal,but are 4 and 3"
- Your code had killed or hanging program when finished epoch 1
- At the inference stage, are there some problems in the sampling method of patches in Function batch_segmentation
- can I use it using only cpu?
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