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INTRODUCTION: Detecting and identifying patterns in chest X-ray images of Covid-19 patients are important tasks for understanding the disease and for making differential diagnosis. OBJECTIVES: The purpose of this work is to develop a technique for detecting biomarkers of four possible conditions in chest X-rays, and study the patterns arising from the location of biomarkers. METHODS: We use transfer learning applied to a pretrained VGG19 neural network to build a model capable of detecting thedoi:10.4108/eai.24-2-2021.168729 fatcat:vp7carfbubfnxfc2deafgc6j24