MIC-DKFZ / nnDetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Date Created 2021-05-17 (3 years ago)

Commits 209 (last one 5 months ago)

Stargazers 560 (0 this week)

Watchers 19 (0 this week)

Forks 102

License apache-2.0

Ranking

RepositoryStats indexes 598,732 repositories, of these MIC-DKFZ/nnDetection is ranked #84,273 (86th percentile) for total stargazers, and #117,268 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #13,746/120,199.

MIC-DKFZ/nnDetection is also tagged with popular topics, for these it's ranked: detection (#126/451), medical-imaging (#50/291), medical (#29/116), 3d-object-detection (#18/111)

Other Information

MIC-DKFZ/nnDetection has 2 open pull requests on Github, 12 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 23 open issues and 251 closed issues.

There have been 2 releases, the latest one was published on 2023-05-05 (about a year ago) with the name Zenodo DOI Trigger.

All Topics

medical detection retina-unet medical-imaging 3d-object-detection pytorch-implementation medical-image-computing

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77 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-12-29 @ 09:57am, id: 368137792 / R_kgDOFfFWQA