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This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

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I am looking at your code and found some problems https://github.com/Beckschen/TransUNet/blob/main/networks/vit_seg_modeling.py#L133 patch_size = (img_size[0] // 16 // grid_size[0], img_size[1] // 16 // grid_size[1]) The training image size is 224 then...

Thank you for your excellent work. I am working on 2d image segmentation. I have some doubt about how to resize the images and masks. Should I simply use bilinear...

Hi, Thanks a lot for sharing your code. I have a question regarding the computation of the evaluation metrics. Your code is: ``` def calculate_metric_percase(pred, gt): pred[pred > 0] =...

Thanks for this terrific repository! Your results are impressive! I notice that the Synapse data is not normalized to between 0 and 1 but instead I'm getting the following values...

Very impressive works. I trying to use the transUnet in my dataset. But my dataset shape is (672,448) which length and width not equal. I find this will lead bugs....

Thanks for your excellent work. While I try to make my own dataset, I meet some troubles. My first question is that what the dimensions of "image" and "label" in...

The model does not scale on multiple GPU units on a single CPU. It create multiple copies of model (when using distributed data parallel) and add all the load to...

Thanks for your work. I have some questions about the patch size of patch embedding when using CNN and Transformer as the encoder. In the section 3.2 of the paper,...

![image](https://user-images.githubusercontent.com/73996375/122313145-4066b580-cf48-11eb-91d4-9fa0540634de.png) What kind of file is in the red place? I didn’t understand it. The error is also because of the path problem.