Diagnosis of COVID-19 using a deep learning model in various radiology domains

Many countries are severely affected by COVID‐19, and various casualties have been reported. Most countries have implemented full and partial lockdowns to control COVID‐19. Paramedical employee infections are always a threatening discovery. Front‐line paramedical employees might initially be at risk when observing and treating patients, who can contaminate them through respiratory secretions. If proper preventive measures are absent, front‐line paramedical workers will be in danger of contamination and can become unintentional carriers to patients admitted in the hospital for other illnesses and treatments. Moreover, every country has limited testing capacity; therefore, a system is required which helps the doctor to directly check and analyze the patients’ blood structure. This study proposes a generalized adaptive deep learning model that helps the front‐line paramedical employees to easily detect …