BMIRDS / deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

Date Created 2018-12-26 (5 years ago)

Commits 100 (last one 6 months ago)

Stargazers 495 (0 this week)

Watchers 18 (0 this week)

Forks 140

License gpl-3.0

Ranking

RepositoryStats indexes 595,856 repositories, of these BMIRDS/deepslide is ranked #92,259 (85th percentile) for total stargazers, and #123,334 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,270/119,431.

Other Information

Homepage URL: https://www.nature.com/articles/s41598-019-40041-7

All Topics

wsi lung cancer resnet microscopy pathology-image sliding-windows histopathology-images medical-image-analysis

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

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updated: 2024-12-17 @ 07:57pm, id: 163124274 / R_kgDOCbkUMg