sbelharbi / negev

Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".
GNU General Public License v3.0
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Share CAMELYON16 Benchmark #2

Closed Reza-Safdari closed 1 year ago

Reza-Safdari commented 1 year ago

Hi there, We are currently working on a paper in the WSOL domain and plan to compare our results with the following papers authored by your team: 1) Negative Evidence Matters in Interpretable Histology Image Classification 2) Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty 3) Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

In your last paper, you presented a concise protocol for sampling small sub-images for WSL with pixel-wise and image-level annotation from the CAMELYON16 dataset. Due to the substantial size of this dataset, we are facing challenges in downloading and running your script to sample small sub-images. May I kindly request that you share the benchmark generated based on your protocol? The benchmark should include a total of 48,870 samples, with 24,348 samples for training, 8,858 samples for validation, and 15,664 samples for testing. Your assistance in this matter would be greatly appreciated.

sbelharbi commented 1 year ago

hi, here is camelyon16 patches (22gb) split into 5 parts: 1- https://www.transfernow.net/dl/20231124WRDBN8Xj/vnsNJTsp 2- https://www.transfernow.net/dl/20231124JZyp2LBv/GEG5OHz3 3- https://www.transfernow.net/dl/202311249hyzS2ga/R99tinmg 4- https://www.transfernow.net/dl/20231124MCuDsAG5/ooJZtMi7 5- https://www.transfernow.net/dl/20231124iMxBUQit/eeKZ4wPx links expire in 7 days. once downloaded, run the following to join the parts: cat CAMELYON512.tar.gz.parta* > Joined.tar.gz thanks

Reza-Safdari commented 1 year ago

Thank you so much.

sbelharbi commented 1 year ago

closing.