Carsten L

Results 44 comments of Carsten L

Hi @deepsea920415, nnU-Net can only be trained on datasets where an identical label is used for each pattern. E.g. - incisor tooth is always label 1 - molar tooth is...

Hi @CodeHarcourt, it seems to me as if your train loss is not steadily increasing but actually decreasing as the values are generally becoming more negative. Train loss epoch 0:...

Hi @CYYJL and @avBuffer, The error message suggests reducing the number of workers as you are running out of RAM. You can do this by running with the flag np....

nnU-Net is trained with patches of the images which are samples from the original images. These patches are also used to calculate the pseudo-dice metric during training. After training, nnU-Net...

Hi @liyang19971022, I do not understand what is going on in your setting. Could you send me the nnU-Net commands that you are using for training alongside your error message?...

HI @Laurabc, First, regarding the general approach: I encourage you to oversample specific regions during nnU-Net training to increase their weighting during training. For this to work, you would need...

Hi @Laurabc, has your issue been resolved? Best regards, Carsten

Hi @Body123 There is already a Python class for inference in nnU-Net. See here for an example: https://github.com/MIC-DKFZ/nnUNet/tree/master/nnunetv2/inference Best regards, Carsten

Hi @MaimoonaAkram. ## Issue Summary The script nnUNetv2_plan_and_preprocess is throwing an AssertionError because it did not find the expected number of training cases (10) in the dataset directory. Instead, it...

Hi @kgh6784, Sorry for the late reply! The issue is that nnU-Net expects the data to be formatted without a channel dimension. Therefore: IMG: (depth, 256, 256, 1) would need...