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 (3 years ago)

Commits 643 (last one 3 months ago)

Stargazers 97 (0 this week)

Watchers 5 (0 this week)

Forks 28

License apache-2.0

Ranking

RepositoryStats indexes 622,269 repositories, of these DIAGNijmegen/pathology-whole-slide-data is ranked #309,683 (50th percentile) for total stargazers, and #340,717 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #58,343/126,223.

DIAGNijmegen/pathology-whole-slide-data is also tagged with popular topics, for these it's ranked: python (#13,422/23115), deep-learning (#5,229/8741)

Other Information

DIAGNijmegen/pathology-whole-slide-data has 1 open pull request on Github, 30 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 33 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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525 commits on the default branch (main) since jan '22

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updated: 2025-02-25 @ 07:44pm, id: 403850842 / R_kgDOGBJGWg