How is the segmentation mask given to the model for multi label segmentation mask

Open nobleaustine opened this issue 9 months ago • 4 comments

If the segmentation mask has just two class background and cancer we can give it as mask with 1 and 0s If there are multiple classes, how are they given, we can't do diffusion directly on the segmentation mask right, is onehot encoding done or any other strategy

Mar 08 '25 01:03 nobleaustine

res = torch.where(mask > 0, 1, 0) can we run without this code in the training_losses_segmentation

Mar 08 '25 01:03 nobleaustine

For dataset like BTCV with multiple labels how is the training done

Mar 08 '25 05:03 nobleaustine

I also have the same question, can anyone answer how the mask should be entered when I do a multi-label split

Mar 10 '25 09:03 15629932373

对于像 BTCV 这样具有多个标签的数据集，训练是如何完成的

Pls have you solved this issue at the moment

Mar 12 '25 07:03 15629932373