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 584,777 repositories, of these btcrabb/SlideSeg is ranked #340,649 (42nd percentile) for total stargazers, and #332,458 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,470/17,124.

btcrabb/SlideSeg is also tagged with popular topics, for these it's ranked: convolutional-neural-networks (#366/541), semantic-segmentation (#324/513)

All Topics

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

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