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The description describes a mean AUROC of 0.847, however when I run the model I get a mean AUROC of 0.489, here's the output from running the model.py script:
```
ambouk3@u109023:/data/ambouk3/CheXN…
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Hello,
We are trying to analyze a large number of images and were wondering if it is at all possible to increase the program's memory limit. It currently seems to only be able to handle ~15 MB wort…
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How does one link the metadata file to the image files? Also there seem to be less metadata than there are images?
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Dear colleagues, is there any CXR dataset that contains image quality assessment label? Thanks a lot!
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```py
import torchxrayvision as xrv
import skimage, torch, torchvision
# Prepare the image:
#img = skimage.io.imread("16747_3_1.jpg")
img = skimage.io.imread("covid-19-pneumonia-58-prior.jpg")
…
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Hi! Thank you so much for your amazing works.
I need to use your trained model for a project. In order to understand how to use the code, I've tried to evaluate the weights _densenet121-res224-all…
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Add reasonable image augmentation
- horizontal/vertical flip
- rotation
- zoom
- etc
Borda updated
4 years ago
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Great library! Would you provide the transfer learning code for resnet50-res512-all as well? Thank you so much!
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I understand the predicted values before applying op_norm returns probabilities in very low decimal points, sometimes as low as 0.00XXX. The ops_threshs is there to normalise the value between 0 and 1…
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It just occurred to me that arrows only occur on images with a positive diagnosis, so this could cause data leakage.
That might not be as much of problem if you are using these images for different…