-
Same as this issue(https://github.com/Project-MONAI/research-contributions/issues/71#issuecomment-1172886171_):I trained my model using custom dataset and when I run test.py, I am getting the followin…
-
Hello, thanks for your great work! Currently the publicly available pre-training weights are trained based on CT data with input channel 1. However, the downstream task of Brats21 is a 4-modal data w…
-
I want to use 'nnFormer_plan_and_preprocess.py' to process my dataset, but something is wrong with those messages:
Traceback (most recent call last):
File ".../unetr_plus_plus-main/unetr_plus_plus…
so-ux updated
4 months ago
-
Hi!
I have been experimenting with your model for quite some time now, specifically on medical imaging data.
I am currently working on looking into possibilities of extending your architecture s…
-
When running on windows locally it is giving error as "The last dimension of the inputs to `Dense` should be defined. Found `None`."
Its working fine on Google Colab.
The error in file unetr_2d.p…
-
Thanks for sharing the great AbdomenAtlas1.1 and many pretrained models.
Here are my questions about the paper.
First, I think that the performance comparison(0.895) on FLARE23 maybe not proper. Her…
-
Dear @Amshaker ,
(1)I have downloaded all the data sets and training plans you provided for Synapse, ACDC, Decathlon-Lung and BRaTs. The Dice of Synapse and ACDC differs from the paper by about 1%, …
-
I was trying to run the test script with the command:
```
CUDA_VISIBLE_DEVICES=0 python -W ignore test.py --resume ./out/epoch_61.pth --data_root_path /mnt/zzhou82/PublicAbdominalData/ --store_resul…
-
Thank you for your paper,
1) When you apply the MAE vit, in MAE architecture there are encoder and decoder, did you used mae encoder ? did you use mask ratio of 0 to make same size of token embeddi…
-
Results of the run on 《A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers》
![image](https://github.com/matteo-bastico/MI-Seg/assets/116933100/6…