COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

Understand

In the last few months, the novel COVID19 pandemic has spread all over the world.

• Due to its easy transmission, developing techniques to accurately and easily identify the presence of COVID19 and distinguish it from other forms of flu and pneumonia is crucial.
• Recent research has shown that the chest Xrays of patients suffering from COVID19 depicts certain abnormalities in the radiography.
• However, those approaches are closed source and not made available to the research community for re-producibility and gaining deeper insight.