btcrabb / SlideSeg

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

Date Created 2017-09-11 (7 years ago)

Commits 47 (last one 2 years ago)

Stargazers 79 (0 this week)

Watchers 5 (0 this week)

Forks 24

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these btcrabb/SlideSeg is ranked #338,136 (42nd percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,400/16,901.

btcrabb/SlideSeg is also tagged with popular topics, for these it's ranked: convolutional-neural-networks (#363/536), semantic-segmentation (#319/507)

All Topics

digital-pathology whole-slide-imaging semantic-segmentation convolutional-neural-networks

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Github watchers over time, collection started in '23

Recent Commit History

2 commits on the default branch (master) since jan '22

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-10-04 @ 05:16pm, id: 103195985 / R_kgDOBialUQ