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Hi,
Thanks for releasing your code publicly. I have been encountering problems training this using the BTCV dataset as well as my own during training. I notice that the loss quickly becomes NaN …
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Training stuck after loading 3d data
![Snipaste_2023-06-08_16-43-17](https://github.com/WuJunde/Medical-SAM-Adapter/assets/76242920/d3e21827-f3de-4504-8f44-24e80b1c19c5)
python train.py -net sam -…
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Thanks for your great works. But I have some question about the performance of the model.
I saw in the paper that SwinUNETR can obtain an average dice score of 0.918 on BTCV, but the model you provid…
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I find the code finally output 13 classes' results, but in inference_synpase.py, you wanna 8 classes like other papers. i wonder is the final result save in "summary.json"? and when i reproduce the co…
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Hi, thanks for sharing.
I wonder that with only one point as prompt, can MSA segment 13 organs at the same time?(For example BTCV dataset),i mean maybe MSA can only work on one class of segmentation…
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Many thanks for the great work! Could you please share the preprocessed BTCV dataset as those for the synapse and acdc datasets?
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Current SwinUNETR is not scriptable by `torch.jit.script`, several features has some limitations to make SwinUNETR compatible with TensorRT.
This issue can discuss the potential solution for makin…
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Hi,
Quick question - when looking at the visualizations generated, I notice that sometimes the input is very dark / black. If you zoom in closely, it's apparent that the underlying data (BTCV) is …
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The work of the paper is very impressive
I would like to ask about the preprocessing of your dataset. I have seen that your dataset is not the original BTCV and CHAOS dataset in other issues, so I wo…
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Hello, many thanks for your impressive work!
Could you provide the pretraining checkpoints used in the original CVPR submission. I understood that there are two checkpoints, one for pretraining on …