XAI for COVID-19 Pulmonary Injury Analysis
Published:
Academic Project: XAI for COVID-19 Pulmonary Injury Analysis
Developed a deep learning project to analyze medical data related to COVID-19 pulmonary injuries, focusing on explainability and visualization of model decisions.
The project includes:
- SHAP (SHapley Additive exPlanations) for feature importance analysis
- Grad-CAM (Gradient-weighted Class Activation Mapping) to highlight regions of interest in medical images
- Application of XAI to enhance interpretability of deep learning models in medical diagnosis