DIAGNijmegen / pathology-whole-slide-data

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

Date Created 2021-09-07 (2 years ago)

Commits 627 (last one 5 days ago)

Stargazers 84 (0 this week)

Watchers 6 (0 this week)

Forks 24

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these DIAGNijmegen/pathology-whole-slide-data is ranked #305,619 (43rd percentile) for total stargazers, and #285,444 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #55,555/103,470.

DIAGNijmegen/pathology-whole-slide-data is also tagged with popular topics, for these it's ranked: python (#13,203/20447), deep-learning (#5,175/7827)

Other Information

DIAGNijmegen/pathology-whole-slide-data has Github issues enabled, there are 4 open issues and 32 closed issues.

Homepage URL: https://diagnijmegen.github.io/pathology-whole-slide-data/

All Topics

wsa wsd wsi wsm python iterator pathology deep-learning histopathology whole-slide-data whole-slide-mask whole-slide-image whole-slide-dataset whole-slide-imaging whole-slide-annotation computational-pathology

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509 commits on the default branch (main) since jan '22

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updated: 2024-06-25 @ 12:54am, id: 403850842 / R_kgDOGBJGWg