nrc-cnrc/COVID-US

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

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This project offers a large, open-access collection of lung ultrasound videos and images for patients with COVID-19, other lung conditions, and healthy individuals. It includes a standardized lung ultrasound score for each video. Medical researchers and clinicians can use this data to develop and evaluate artificial intelligence tools for screening, prognosis, and treatment planning of COVID-19.

No commits in the last 6 months.

Use this if you are a medical researcher or clinician building AI models for COVID-19 diagnosis, severity assessment, or treatment planning using lung ultrasound data.

Not ideal if you are looking for raw patient data or clinical records beyond ultrasound images and their associated scores.

medical imaging COVID-19 diagnostics ultrasound clinical AI lung assessment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

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62

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17

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Jun 08, 2022

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nrc-cnrc/COVID-US"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.