Applying Machine Learning techniques to support COVID-19 diagnosis

The project is about applying Machine Learning (ML) techniques to help diagnose pneumonia produced by SARS-CoV-2 using chest X-Ray images, especially in countries where the virus is widely spread but have few resources to fight it.

The choice of X-Ray images as input for the ML models is motivated by the fact that X-Ray technology is commonly available, even in small medical centres of areas with limited diagnosis equipment.