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Hello, thank you very much for your excellent work! I try to run create_patches_fp.py, process my data. But I found that compared to the mask image, the labeled borders of this file don't match the tumor location, as shown in the picture.
I tried to process the images inside the CAMELYON16 dataset and this didn't happen, I don't know what's wrong, I hope to get your answer!
Sincerely thanks and best regards!
May
The text was updated successfully, but these errors were encountered:
You may need try to lower the value of parameter 'a_t', such as 10 or below
I originally used openslide to convert the image to tif format, now I changed to pyvips to convert it, and get the tif format files, run the create_patches_fp.py code, and the mask and stitches can be matched. But the results in summary I got from running main.py with CAMELYON16 dataset (399 samples), something is not right, the precision is even one in some folds.
Hello, thank you very much for your excellent work! I try to run create_patches_fp.py, process my data. But I found that compared to the mask image, the labeled borders of this file don't match the tumor location, as shown in the picture.
I tried to process the images inside the CAMELYON16 dataset and this didn't happen, I don't know what's wrong, I hope to get your answer!
Sincerely thanks and best regards!
May
The text was updated successfully, but these errors were encountered: