Comments (2)
尊敬的3D-TransUNet模型的作者,我一直在关注您的Transunet系列的工作,并感谢您在医学图像分割领域的无私贡献。当我根据论文中的内容和代码使用仅编码器模式训练 Synapse 数据集时,结果与论文中的结果有很大不同,我认为这可能是由于数据或数据处理不同造成的。有没有办法获取你使用的 Synapse 数据集或你所做的预处理?我目前正在使用的 Synapse 数据集已被过滤为“TransUNet”:Transformers Make Strong Encoders for Medical Image Segmentation“,并根据 nnunetv1 对 30 例进行了预处理。然而,除了论文中的器官外,数据集的标签还包括 eso、IVC、venis、rad 和 lad。目前尚不清楚这是否会影响结果。感谢您的时间和帮助。
Dear blogger, I am a deep learning enthusiast, I didn't debug the code released by the author, I saw that you debugged it, can you share a copy of the complete code with me? My email is [email protected], thank you so much!
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Dear @zzjrookie, I need to reproduce the results on Synapse as well, But I am facing troubles in preprocessing the dateset. can you please put the information about how did you train the models? Thank you!
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Related Issues (20)
- from torch.optim.lr_scheduler import LambdaLR, _LRScheduler
- Inquiry Regarding Reproduction of 3D-TransUNet Results on Brats-MET Dataset HOT 4
- Can I train your model without distribution? HOT 4
- pre-trained model
- Typo in inference.py
- How to creat nnUNetPlansv2.1_plans_3D.pkl? HOT 2
- how to setup config yaml HOT 1
- 我在运行train.py时出错
- Can you share preprocessed Datasets?
- How to generate default_plans_identifier_plans_2D.pkl? HOT 2
- Problem with validation on folds and inference
- Unresolvable import
- An error:RuntimeError: Function 'SigmoidBackward0' returned nan values in its 0th output. HOT 1
- hi,I want to know if I can run the code with nnUnet v1? HOT 3
- How to start training?
- Can this model be directly used to train MRI?
- Incompatible with NNUnetv2
- Could find module 'ml_collections' HOT 1
- How to train the three configurations - encoder only, decoder only, encoder plus decoder?
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