Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data

  Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data   Introduction: COVID-19 virus has rapidly spread in mainland China and into multiple countries worldwide . Early diagnosis is a key element for proper treatment of the patients and prevention of the spread of the disease. Given the high tropism of COVID-19 for respiratory airways and lung epithelium, identification of lung involvement in infected patients can be relevant for treatment and monitoring of the disease. Fig. 1: Example Chest X-Ray images of: (a) non-COVID19 infection, and (b) COVID19 viral infection   Figure 2: Example Chest X-Ray images from the dataset, which comprises of 13,975 Chest X-Ray images across 13,870 patient cases from five open access data repositories: (a) COVID-19 Image Data Collection, (b) COVID-19 Chest X-Ray Dataset Initiative, (c) RSNA Pneumonia Detection challenge dataset, (d) ActualMed COVID-19 Chest X-Ray Dataset Initiative, and (e) ...