Comments (2)
JohnleeHIT
commented on June 11, 2024
If you have tried the N4BiasFieldCorrection function(From simpleITK), you will see that the processing is rather slow , approximately 5min a volume, so i do it offline. However, it actually just improves a little bit, so its ok to remove this process.
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zwlshine
commented on June 11, 2024
If you have tried the N4BiasFieldCorrection function(From simpleITK), you will see that the processing is rather slow , approximately 5min a volume, so i do it offline. However, it actually just improves a little bit, so its ok to remove this process.
Great！ Thanks for your answer, good luck!
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Related Issues (19)
- after tranning 9000 epochs the matrice of dice is low(specially for ET) HOT 5
- I want to know how to generate the gif in your readme, thank you very much... HOT 4
- Still a big gap with your best result.(Training average dice: [0.787, 0.546, 0.446] vs [0.915, 0.83, 0.791]) HOT 24
- In model unet_resnet, why do expand_dims for input_pred_softmax? HOT 1
- You load pre-weights only for the first mode named unet,did you? HOT 2
- Definition of all_stages_loss, how to choose suitable coefficient for separate stage loss? HOT 2
- Cross validation may be better HOT 1
- list assignment index out of range HOT 5
- Error occurs when data's brain region size lower than patch size HOT 1
- why is there a problem "AttributeError: 'BatchGenerator' object has no attribute 'next'? HOT 3
- directory name is invalid
- 请问测试集从何得到 HOT 2
- Are you willing to provide the outcome of your training?
- Will you provide pre-train model?
- the purpose of the 359 lines of code "input_concat" in operations.py HOT 1
- model HOT 3
- Index error: list index out of range HOT 1
- RuntimeError: Graph is finalized and cannot be modified.
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