COVID-US | Open benchmark dataset of COVID-19 related ultrasound

by nrc-cnrc Jupyter Notebook Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | COVID-US Summary

COVID-US is a Jupyter Notebook library. COVID-US has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Open benchmark dataset of COVID-19 related ultrasound imaging data, curated and systematically validated — Ensemble de données de référence ouvert d'imagerie échographique liées à la COVID-19, organisé et systématiquement validé

Support

Quality

Security

License

Reuse

Support

COVID-US has a low active ecosystem.

It has 17 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of COVID-US is current.

Quality

COVID-US has no bugs reported.

Security

COVID-US has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

COVID-US is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

COVID-US releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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COVID-US Key Features

No Key Features are available at this moment for COVID-US.

COVID-US Examples and Code Snippets

No Code Snippets are available at this moment for COVID-US.

Community Discussions

No Community Discussions are available at this moment for COVID-US.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install COVID-US

You can download it from GitHub.

Support

You can contribute to the COVID-US initiative by providing/adding more data/data sources, implementing new features and functionalities in the scripts, correcting errors, or even improving documentation. Feel free to submit small corrections and contributions as issues in the issue tracker. For more extensive contributions, familiarize yourself with git and github, work on your own COVID-US fork and submit your changes via a pull request.

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