Comments (1)
universal model take one channel ct as input
from clip-driven-universal-model.
Related Issues (20)
- data request HOT 4
- The problem of Dice loss HOT 5
- Pre trained weights on MSD challenge HOT 1
- how many epochs did you train HOT 4
- Inquiring about Memory Usage and Device Utilization during Training HOT 1
- size mismatch Error(s) in loading state_dict for SwinUNETR
- size mismatch Error(s) in loading state_dict for SwinUNETR HOT 1
- Some doubts about validation and test
- the code of generalizability, transferability, and extensibility HOT 1
- some question during training and achieve your paper result HOT 3
- How to train a universal model for multiple binary labeled datasets? HOT 2
- Problem in 02_Pancreas-CT Dataset
- Question on dataset 12: HOT 1
- Types of models and methods of data reading HOT 1
- Why choose -175 and 250 as a_min and a_max? HOT 1
- Can your code be segmented for 2D medical images? HOT 1
- Fine-tuning Code HOT 2
- Segmentation masks have a different shape than the input CT scan? HOT 1
- provided post label shape mismatch
- loss.py BinaryDiceLoss use of dim = 1 when flattening the tensor.
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