COVID 19 Detection from Chest X-rays
Overview
CNN models trained to distinguish COVID-19 / Pneumonia chest X-rays from normal X-rays in a binary classification task. Multiple architectures and configurations were evaluated, with all code and findings published openly on GitHub.
Outcome
Open-source reference implementation for COVID-19 X-ray detection, with full reproducible code and results.
Architecture & Pipeline
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01
Chest X-ray
Image input
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02
Preprocessing
Normalize · resize
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03
CNN Model
PyTorch
- CNN
- PyTorch
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04
Probability Score
Sigmoid output
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05
Classification
Infected / Normal
End-to-end flow, in order. Scroll sideways on a narrow screen.
Key Features
- Binary classifier for "Infected" vs "Normal" chest X-rays
- Multiple CNN configurations evaluated and compared
- Open-source code and results on GitHub