Introduction
Welcome to the competition. This competition is for CS Students in Neural Network and Deep Learning course at FCIS. The goal of the competition is to build deep learning models that can diagnose COVID-19 and Pneumonia cases using chest X-Ray Images. Let's help the community with useful things!
Medical Background
COVID-19 and Pneumonia present several unique features. While the diagnosis of COVID-19 is confirmed using polymerase chain reaction (PCR), infected patients with pneumonia may present on chest X-ray and computed tomography (CT) images with a pattern that is only moderately characteristic for the human eye. COVID-19’s rate of transmission depends on our capacity to reliably identify infected patients with a low rate of false negatives. In addition, a low rate of false positives is required to avoid further increasing the burden on the healthcare system by unnecessarily exposing patients to quarantine if that is not required. Along with proper infection control, it is evident that timely detection of the disease would enable the implementation of all the supportive care required by patients affected by COVID-19 and Pneumonia.