AdalbertoCq / Histomorphological-Phenotype-Learning

Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'

Date Created 2022-06-20 (2 years ago)

Commits 179 (last one about a month ago)

Stargazers 50 (0 this week)

Watchers 4 (0 this week)

Forks 14

License unknown

Ranking

RepositoryStats indexes 601,131 repositories, of these AdalbertoCq/Histomorphological-Phenotype-Learning is ranked #472,469 (21st percentile) for total stargazers, and #379,275 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #90,957/120,802.

Other Information

AdalbertoCq/Histomorphological-Phenotype-Learning has Github issues enabled, there are 2 open issues and 4 closed issues.

There have been 1 release, the latest one was published on 2024-02-27 (10 months ago) with the name Nature Communications Release.

All Topics

clustering histopathology unsupervised-learning self-supervised-learning

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

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updated: 2025-01-06 @ 05:27pm, id: 505573958 / R_kgDOHiJyRg