  The coronavirus continues to disrupt our everyday lives as it spreads at an
exponential rate. It needs to be detected quickly in order to quarantine
positive patients so as to avoid further spread. This work proposes a new
convolutional neural network (CNN) architecture called 'slow Encoding CNN. The
proposed model's best performance wrt Sensitivity, Positive Predictive Value
(PPV) found to be SP=0.67, PP=0.98, SN=0.96, and PN=0.52 on AI AGAINST COVID19
- Screening X-ray images for COVID-19 Infections competition's test data
samples. SP and PP stand for the Sensitivity and PPV of the COVID-19 positive
class, while PN and SN stand for the Sensitivity and PPV of the COVID-19
negative class.
