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Hi,
In the code I noticed that you split the Camelyon16 dataset with the formula
```
train_path = bags_path.iloc[0:int(len(bags_path)*(1-args.split)), :]
test_path = bags_path.iloc[int(len(bag…
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Thanks for your great job! Some digital pathology image data sets may be helpful, such as Camelyon or DigestPath, etc.
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I am working with the CAMELYON16 dataset and tried generating the Binary Mask Files (Ground truths). I used this [code](https://github.com/3dimaging/DeepLearningCamelyon/blob/master/1%20-%20WSI%20Visu…
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I am facing some problem with the annotation of CAMELYON16 test data. I use the code provided to generate annotation mask but when I try to count the number of tumors inside the mask, it returns only …
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Hi,
I have seen the CLAM was trained and Evaluated over Camelyon16 and 17 challenge. Can you give more insight on how the data was combined, what was the number of ITC, Macro, Micro and Negative in…
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Hi,
I am interested in using pyvips for processing whole-slide images, and possibly using this package to replace openslide-python for patch generation, image mosaicing, etc..
I'm navigating the…
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Great Work! And I want to know how long it took you to train the SimCLR model? Can you share the trained ResNet18 model.pth file?
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I would like to know if it is possible to have access to the data used for training.
Thanks
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I tried to calculate FROC using your resnet18_base.ckpt, and I got:
**Avg FP = 0.25
Sensitivity = 0.6061946902654868
Avg FP = 0.5
Sensitivity = 0.6769911504424779
Avg FP = 1
Sensitivity …
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Thank you for open-sourcing the code of the paper. While I am trying to use your program to segment the CAMELYON17 dataset, I noticed that the stitches of a lot of slides contain large amounts of arti…