Quick COVID-19 Screening from Chest X-rays — Open, Fast and Accurate
A new tool can spot COVID-19 from routine chest X-rays fast, using a trained smart model that learns from images.
It was made to tell COVID from other lung infections and normal scans so doctors can act sooner, and it’s freely shared as open-source so others can check and improve it.
The team trained the model in simple steps, showing pictures at different sizes so it learns patterns more reliably, and tuned it quickly with automatic settings.
On tests the method reached about 96.
23% accuracy after just a few dozen training rounds, which made the system both quick and light on computing.
This means more people can be screened faster, and hospitals may get help handling patient loads.
It’s not a final diagnosis tool, but a fast screen to flag likely cases, that can guide follow-up testing.
Try to imagine faster checks at clinics, with clearer triage, and less strain on medical staff — that’s what this work aims to bring.
Read article comprehensive review in Paperium.net:
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 fromRadiographs
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
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