Ensemble-CVDNet: A Deep Learning based End-to-End Classification Framework for COVID-19 Detection using Ensembles of Networks

Understand

The new type of coronavirus disease (COVID-19), which started in Wuhan, China in December 2019, continues to spread rapidly affecting the whole world.

• It is essential to have a highly sensitive diagnostic screening tool to detect the disease as early as possible.
• Currently, chest CT imaging is preferred as the primary screening tool for evaluating the COVID-19 pneumonia by radiological imaging.
• However, CT imaging requires larger radiation doses, longer exposure time, higher cost, and may suffer from patient movements.