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Camelyon16 Patching about dgmil HOT 3 CLOSED

bryanwong17 avatar bryanwong17 commented on August 18, 2024
Camelyon16 Patching

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Comments (3)

bryanwong17 avatar bryanwong17 commented on August 18, 2024

Hi @miccaiif, for extracting CAMELYON16 patches for 5x magnification, did you follow the default settings on the DSMIL GitHub page?

python .\deepzoom_tiler.py -m 0 -b 5

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HardworkingLittlequ avatar HardworkingLittlequ commented on August 18, 2024

Hello! Thanks for your attention! You can use DSMIL Github page to generate patches.

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HardworkingLittlequ avatar HardworkingLittlequ commented on August 18, 2024

Compared with DSMIL, for considerations of computational efficiency and resources, we used 5x (vs. DSMIL 20x) in our experiments. We used a patch size of 512 (vs DSMIL 224), and a patch is labeled as positive if it contains 25% or more cancer areas (not specified in DSMIL). These different settings may result in the difference between the metrics reported by us and those reported by DSMIL.

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