The poor performances of the multi-labels BraTs dataset

[smallboy-code]

The raw images:

The Ground Truth:

The output sample of 5 ensembles:

So why these outputs contain the brain boundary? And how to set 0,1, 2, 4?

[princerice]

I would like to know your batch and the number of training steps

[smallboy-code]

batch_size: 32 and training steps : 30000

[princerice]

Thank you for your answer. My batch is set to 8 and I use A5000GPU. I would like to know the size of the GPU memory you use

[smallboy-code]

I using the four A100 GPUs. And I get the normal mask without brain tissue boundary, but the Dice is lower, about 0.4. So do you have this issue?

[princerice]

I trained 40,000 steps on a gpu and the results are not good and we may need to adjust and improve ourselves

[princerice]

I'm also confused that the loss has leveled off but the results are far from satisfactory

[smallboy-code]

Yes, and I want to know the clamp range in the final "process_xstart" function. I am use (0,3).

[princerice]

This part is not clear to me yet, I am just trying to reproduce and learn the code

[teapanda628]

Hi！I have trouble with multi-label segmentation. Could you tell me if I want to have a triple classes segmentation (background+label 1+label2), where and which parameters I need to change