yhygao / UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
MIT License
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Running error #4

Closed inhaowu closed 2 years ago

inhaowu commented 2 years ago

Hi , I just downloaded the data that needed for the training, and I met a problem when running "traindeep". It says: IndexError: list index out of range . I checked the dataset file and I think I have configured it correctly, so I can't find what reason causes this, can you help me? The dataset file and error are shown as follows: ![}2TPR6)JL~3J8OWK(Q{5S0](https://user-images.githubusercontent.com/37375756/147476889-1325460f-6a74-4eb1-81fb-147e37707fd8.png) 509B~KPU2983 8H{2FJS`WU

yhygao commented 2 years ago

The data you downloaded is the raw cineMRI data. You can refer to this issue for preprocessing details: https://github.com/yhygao/UTNet/issues/1#issuecomment-961556351

Yussef93 commented 2 years ago

Kindly provide the preprocessing code since it is a part of the pipeline and it would help a lot to save time. Thank you for your understating.

umarmubeen06 commented 2 years ago

Kindly provide the preprocessing code since it is a part of the pipeline and it would help a lot to save time. Thank you for your understating.

hey, have found the pre-processing pipeline or solved the pre-processing issue if you have any solution can you please share it with me at umarmubeen09@gmail.com? Will be really thankful.

yhygao commented 2 years ago

Hi, thank you for your interest in our work. The preprocessing code will be released soon.

umarmubeen06 commented 2 years ago

Thank you for your kind response. I just need it to regenerate paper results. Having pre-processed code can help me a lot. I want to continue my research work based on your paper. until code release, can you please share the pre-processing code pipeline ? Thank you. Regards

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Hi, thank you for your interest in our work. The preprocessing code will be released soon.

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yhygao commented 2 years ago

Hi,

Thank you for your interest in our work. The data preprocess code is uploaded. Also, our new paper is available: UTNetV2. We also provide a more detailed framework for CNN and Transformer comparison, including more dataset support and more SOTA model support. If you are interested, please see the new repo: https://github.com/yhygao/CBIM-Medical-Image-Segmentation

Best!