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JPEGLib: Not a JPEG file: starts with 0x00 0x00.
Traceback (most recent call last):
File "wsi/bin/patch_gen.py", line 48, in
(args.patch_size, args.patch_size)).convert('RGB')
File "/home…
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Name of dataset: PatchCamelyon (PCam)
URL of dataset: https://github.com/basveeling/pcam
License of dataset: The data is provided under the CC0 License, following the license of Camelyon16. The rest…
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I have downloaded dataset from https://camelyon16.grand-challenge.org/ but looks like QuPath openslide is not able to open it up and giving null pointer exception. I am able to open this file using o…
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https://github.com/linhj184169280/CAMELYON16-Challenge/blob/925a394d4f7061c33dc8fb94537c28e0a8d62db3/Camelyon2016_Release/Program/Camelyon_VGGRes/Train/CorrTxtMaker.py#L68
学长好,
I have read the c…
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In Tissue mask part, you said you generate the mask of Test_026.tif in level 6 corresponding to the inference stride of 64, but I found the level 6 downsample factor is 57.375, dose it means the infe…
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I notice that the polygon annotation done in other zoom level (say: 9000 pixel) is not correct when viewed in (3000 pixel). See attached images.
Annotation done in (9000pixel)
https://bit.ly/2Ugk…
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Hi, I noticed that the mask used in the work is different from the original dataset ('tif' instead of 'png'), can I know how did you generate the mask files as 'tif' format?
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Can the Evaluation_Mask_Level in Evaluation_FROC can be different from the level at which the probability map was generated?
I mean you generated the prob maps at level 6 but evaluation is done at le…
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OS: ubuntu 16.04.4 LTS
ASAP version: 1.9
```
import multiresolutionimageinterface as mir
reader = mir.MultiResolutionImageReader()
mr_image = reader.open('../CAMELYON16/training/tumor/tumor_036.t…
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