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 78 (0 this week)
Watchers 5 (0 this week)
Forks 24
License mit
Ranking

RepositoryStats indexes 633,559 repositories, of these btcrabb/SlideSeg is ranked #363,783 (43rd percentile) for total stargazers, and #324,477 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,266/19,093.

btcrabb/SlideSeg is also tagged with popular topics, for these it's ranked: convolutional-neural-networks (#375/570),  semantic-segmentation (#350/544)

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Recent Commit History

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

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Issue History

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Languages

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updated: 2025-03-22 @ 10:08am, id: 103195985 / R_kgDOBialUQ