Comments (4)
You may need to check whether the resampling and CT-window norm. have been applied to your data. You can show your input images using the "writer.add_images" function in the training code and check the range. Note that, pls follow the augmentation way of this repo. on the Pancreas-CT dataset. Thanks.
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I wrote a visualization program and discovered that the labels and data may not be aligned. I debugged the program and confirmed my suspicion. I have made changes to the preprocessing and reading steps, and I believe this should resolve the issue.
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OK, I will find several testing samples for your reference. Good luck
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The problem has beed solved ,Thanks
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Related Issues (16)
- Did you crop raw samples on the z axis? HOT 1
- 请问可以提供预处理好的Pancreas数据吗? HOT 1
- Asking for the CT-82 dataset HOT 1
- 关于Multi-scale MC-Net+和sharpening函数问题请教 HOT 1
- About the parameter quantity in the MC-Net+ HOT 2
- Number of classes issue HOT 1
- Labels for unlabeled data HOT 3
- 训练标签问题 HOT 1
- train_mcnet_2d.py HOT 3
- Loss function mistake HOT 1
- About the consistency_weight HOT 1
- Data preparation for ACDC, LA and Pancreas HOT 6
- Type error when training VNet with 10% LA dataset HOT 3
- Unmatched tensors HOT 12
- Train VNet with all 80 labels HOT 1
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