Explainable COVID-19 Chest X-ray Classification
- TensorFlow
- medical imaging
- explainable AI
- computer vision
What it is
A pipeline that classifies chest X-rays into four classes (COVID, Normal, Lung Opacity, Viral Pneumonia) and — crucially — explains why.
It builds both a custom CNN and a VGG16 model, then applies saliency / explainability methods (Grad-CAM, Integrated Gradients, and a combined Integrated-Grad-CAM) to visualize what the network attends to. It also includes adversarial-robustness utilities to probe how stable those explanations are.
Stack
TensorFlow/Keras · tf-explain (Grad-CAM, Integrated Gradients) · OpenCV · COVID-19 Radiography dataset