jannisborn/covid19_ultrasound
Open source lung ultrasound (LUS) data collection initiative for COVID-19.
This project provides an AI-powered tool to help medical professionals quickly and accurately detect COVID-19 from lung ultrasound (LUS) videos. You input LUS recordings, and the system outputs a classification indicating whether the patient likely has COVID-19, bacterial pneumonia, or is healthy. This is designed for doctors, sonographers, and other clinicians in urgent care or emergency settings.
169 stars. No commits in the last 6 months.
Use this if you are a clinician looking for an automated way to assist in diagnosing COVID-19 using lung ultrasound data.
Not ideal if you are looking for a diagnostic tool based on CT scans or X-ray images, as this project specifically uses ultrasound data.
Stars
169
Forks
81
Language
PHP
License
—
Category
Last pushed
Apr 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jannisborn/covid19_ultrasound"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and...
kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT...
ieee8023/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
priyavrat-misra/xrays-and-gradcam
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
NeelBhowmik/xray
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)