Content Based COVID-19 Chest X-Ray and CT Images Retrieval framework using Stacked Auto-Encoders

Abstract

Late 2019, the world witnessed a new devastating outbreak: coronavirus (COVID19) that attacks the human lungs and causes respiratory infections like pneumonia pathologies. This disease is spreading rapidly in the globe, causing multiple damages, even on the healthcare sector, economic and social sectors. In this article, we present a framework dedicated to epidemiologists for the investigation of the Patient 0 infected and establish the propagation path in different areas of the country. A Content Based Medical Image Retrieval system is proposed based on the Stacked Auto-encoders for the recognition of the disease characteristics in medical images. Our model search target COVID Chest X-Ray and CT images using similarity measurements learned through an image database of different pathologies as SARS and other viral or bacterial species of pneumonia diseases.