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xai-covid19's Introduction

Causal Explanations for COVID-19 prediction from chest X-Rays

By Julien Balbierer and Benjamin Nicol
Directed by Asst. Prof. Natalia Diaz-Rodriguez (ENSTA)

The goal of this research project is to improve eXplainable AI (XAI) methods by improving its robustness and trust. The application will be on COVID-19 diagnosis on X-ray images.

Dataset

The dataset used for this project is COVIDGR 1.0.

COVIDGR is a set of X-ray images to assist the diagnosis of COVID-19 built in close collaboration with radiology expert teams in Spain.

Usage

In order to run correctly the notebooks, create a virtual environment and then install the requierements.

  • requirements.txt for pip
  • env.yml for conda

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