# BMIRDS/deepslide

<https://repo.masters-masters.com/en/repos/BMIRDS/deepslide>

[Home](https://repo.masters-masters.com/en) › [BMIRDS](https://repo.masters-masters.com/en/owners/BMIRDS) › [deepslide](https://repo.masters-masters.com/en/repos/BMIRDS/deepslide)

BMIRDS/deepslide has 521 stars on GitHub. Its RepoMasters card: Alpha tier. Code for the Nature Scientific Reports paper "Pathologist-level classification of…

| Field | Value |
| --- | --- |
| Owner | [BMIRDS](https://repo.masters-masters.com/en/owners/BMIRDS) |
| Stars | 521 |
| Forks | 142 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | histopathology-images, microscopy, sliding-windows, medical-image-analysis, resnet, wsi, lung, cancer, pathology-image |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [BMIRDS/deepslide](https://github.com/BMIRDS/deepslide) |

## Repository

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.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.