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MURA is a dataset of bone X-rays. The training set contains 36k
X-rays and the validation set contains 3k images
The MURA dataset [14] contains upper limb X-rays
images labeled whether they conta…
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* Name of dataset: MURA
* URL of dataset: https://stanfordmlgroup.github.io/competitions/mura/
* License of dataset: Unknown
* Short description of dataset and use case(s): MURA (musculoskeletal ra…
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Hello, I'd like to inquire whether you employed different models for distinct parts when working with the MURA dataset or if a single model was used to predict all parts.
If multiple models were ut…
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While trying to run your code, from main.py the following error occurs:
`Traceback (most recent call last):
File "DenseNet-MURA-PyTorch/main.py", line 12, in
study_data = get_study_level_d…
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Hello, could you please provide some guidelines on how to obtain SHAP values for a finetuned vision transformer for custom dataset?
I am finetuning a google/vit-base-patch16-224-in21k with a class…
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File "main.py", line 16, in
dataloaders = get_dataloaders(study_data, batch_size=1)
File "/home/zli/PycharmProjects/DenseNet-MURA-PyTorch/pipeline.py", line 79, in get_dataloaders
imag…
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Hello authors, I have been paying attention to your paper recently, but I followed the steps of your scripts to reproduce the experiment of the Pet part, but found that the effect is not good, the vis…
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after running the code got this error. how can i fix this? plz help.
i used nvidia titan xp gpu.
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Traceback (most recent call last):
File "", line 1, in
runfile('C:/Users/User/…
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How many epochs did the model pre-training and fine-tuning run in the paper?
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I initially trained ReACGAN with 7 classes and 64x64 resolution images, I could get fair generated samples with a FID of 40 (With 50% of training I could get a FID of 40).
Right now I'm training w…