smallboy-code

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batch_size: 32 and training steps : 30000

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?

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

Yes, I trained on a segmentation mask with a single channel with different values (0,1,2,3) for the different classes. The one binary mask for each of the classes means training...

Yes, I have also try to do this, but I found the finnal output will be like this: ![图片1](https://github.com/JuliaWolleb/Diffusion-based-Segmentation/assets/61675340/6f6b32fd-1411-45f1-a7cc-691099741d15) WT,TC,ET,respectively. I think the results are worse than one channel.

It remains unresolved. @ZhengChen6

can you solve the problem of the multi-class segmentation ?

@princerice Hi, Have you tried multi-class segmentation for different tumor sub-regions, such as enhanced tumor core, whole tumor, and tumor core? I'm working for it, can we discuss about it?

I also meet this problem. I think it's because your "x_t".shape(B, 1, H, W) is not the same as the "eps".shape(B, 2, H, W). You set the output of the...

There are some results of multi class segmentation for brats dataset. And I don't konw how to threshold the output mask like the ground turth. ![0](https://github.com/WuJunde/MedSegDiff/assets/61675340/112b0c55-fac6-4058-9591-982793092b8f) ![2](https://github.com/WuJunde/MedSegDiff/assets/61675340/f21d212b-a056-432f-b0a6-967c9ce696fe) ![3](https://github.com/WuJunde/MedSegDiff/assets/61675340/6ddd8a62-38ee-497a-9b1e-147ad00e354d) ![5](https://github.com/WuJunde/MedSegDiff/assets/61675340/20ffc543-eb30-47ee-8038-3c866405b9a2)