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Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR/W 2024)

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![e816438e1cd13f5faff122be0de7e49](https://github.com/OSUPCVLab/SegFormer3D/assets/39455680/2f45e11c-d627-4857-b4e3-c479bfe06c60) After the training is done, test reports an error. Also I can't use accelerate launch --config_file . /gpu_accelerate.yaml run_experiment.py command, I use python run_experiment.py instead for launch.

I have already trained,Next how to test?

Thanks for sharing the weights for the model trained using BraTs dataset. Is it possible to share the weights file for the model trained using CT images as well? Thanks

How to test visualization\data\TUMOR? I don't Know。 I only Know how to train!

Thank you for sharing your research. Currently, only the code for experiment/brats_2017 has been shared in the repository, could you please provide the code for the multi-organ CT segmentation dataset...

Hi I just wanted to ask if you can provide the Hausdorff Metrics(HD95) scores for SegFormer3D on the BraTS test set. Thanks!

I can not preprocess the dataset using providing codes. Please provide full explicit comments for how to use other datset.

Could you please provide the code files for data preprocessing and dataset splitting operations for the ACDC dataset and Synapse dataset? Thank you in advance.

hi, when trying to run the exp. on google colab. I am continuously facing dependencies issue... again and again

Hi, recently,i get some trouble about how to use the Crossentropyloss,i have preprocessed the brats2017 dataset according your preprocess.py when i train the model, i find the label's shape is...