Comments (9)
Sure I'll be happy to share the checkpoints. Lemme check whether they are still on my harddisk. If not, I'll do a retraining.
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@askerlee any updates? :D
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@RylanSchaeffer I uploaded a checkpoint for REFUGE to baidu netdisk:
URL: https://pan.baidu.com/s/1TmV27ziwrULGa0KFA2ohuQ
code: qsll
The problem is it's too big (around 1G). I haven't checked why it's so big.
It achieves 0.959/0.870 on REFUGE leaderboard.
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@askerlee Thank you for loading the model, would you please also upload the trained model checkpoint for the BraTS? I am looking into using the 3D model for the BraTS dataset
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I've deleted the checkpoint but I'll retrain it today. Probably will be able to upload it tomorrow.
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Thank you @askerlee
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@wshi8 The checkpoints on BraTS 2019 and REFUGE 2020 have been uploaded to:
https://pan.baidu.com/s/1nbBrPJKK1NtOe848cApS8w
code: h1vi
On BraTS 2019 validation:
0.729/0.896/0.832, Avg. 0.819
On REFUGE 2020 validation:
0.870/0.959, Avg. 0.915
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Thanks a lot! what is the 3 value number corresponding to? is this "Accuracy" for 3 validation runs?
0.729/0.896/0.832, Avg. 0.819
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@wshi8 They are the dice scores of ET (enhancing tumor), WT (whole tumor) and TC (tumor core), just as the metrics reported in my ijcai paper.
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Related Issues (20)
- Some questions about test-vcdr.py
- dataset
- problem about dataset HOT 17
- train HOT 19
- problem about data process
- hardware HOT 1
- Great project! But I encountered some problems about test HOT 19
- Train Polyformer (source) Problem HOT 18
- test result dice : 0.000 HOT 2
- about ModuleNotFoundError HOT 5
- data problem on Polymorphic Transformers HOT 14
- Different results on zero-shot learning HOT 2
- Figure 2 in the paper HOT 2
- chechpoint HOT 1
- about nnunet HOT 3
- Problem about the mask of RIM dataset HOT 2
- TRANSUNET SAYS KEY ERROR HOT 2
- The file is damaged HOT 2
- checkpoint detail HOT 2
- Own dataset
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