Deep Learning for Identification of Pneumonia and COVID-19

The novel corona virus (COVID-2019) was encountered in Wuhan; it then spread at an alarming rate around the world and led to an ongoing pandemic. The public health, daily lives & global economy have been affected severely. Pneumonia is a life-threatening respiratory infection which affects lungs in humans and its main cause is Streptococcus pneumonia bacteria. Based on World Health Organization (WHO) statistics, pneumonia is the main cause of one out of every three deaths in India. It is very crucial to identify the positive cases in the initial stages to avoid the spread of this epidemic to a further extent and to treat the affected patients at a faster rate. Due to the non-availability of accurate automated toolkits, the requirements for auxiliary diagnostic tools have increased. The latest findings procured using techniques based on radiology imaging propose that this data contains information which is critical pertaining COVID19. To accurately detect this disease, artificial intelligence (AI) technique is integrated along with technology based on radiological imaging. This is also beneficial in identifying pneumonia and COVID-19 in the absence of experts in the medical field. This research presents an accurately designed model for COVID-19 detection with the help of X-ray’s. The model designed, classifies the diagnosis accurately into COVID-19, No-Findings and Pneumonia.