Comments (4)
ljwztc
commented on August 15, 2024
Yes. We trained five different models according to the split in BTCV.json, but the code is not exactly same with train.py and val.py.
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AustinYuAo
commented on August 15, 2024
Hi, sorry to bother you. I want to reproduce the Swin UNETR model, how many epochs do I need to train, is the preprocessing the same as https://github.com/ljwztc/CLIP-Driven-Universal-Model/blob/2239db89c61daa985f4c6c11a10fd3e7f7b0d6e5/dataset/dataloader.py#L225C22-L225C22? Do I need to be aware of anything else?
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ljwztc
commented on August 15, 2024
We conduct five-cross validation according to this file. More details please refer to #26
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AustinYuAo
commented on August 15, 2024
Thank you very much for your response. We have also submitted our training results to the official website, but we haven't received any results yet. Can I ask if you know how to obtain the segmentation results? I am eagerly looking forward to your reply.
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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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