doi:10.38207/jmcrcs20201042engÁvila Gómez, Francisco JavierEmbid, IsmaelMarcellán, Mª ConcepciónRemón, LauraSuperpixel Segmentation of Chest Computerized Tomographic Images from COVID-19 Disease PatientsART-2020-120375Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus that has caused a global pandemic with hundreds of thousands of deaths worldwide. The severity of the disease and the lack of an effective treatment or vaccine have promoted hundreds of simultaneous scientific research throughout the world searching in parallel a cure and accurate diagnostic methods. This work presents a userfriendly and fast novel method based on superpixel segmentation to analyze chest CT images to detect and study positive COVID-19 cases.2020http://zaguan.unizar.es/record/12800510.38207/jmcrcs20201042http://zaguan.unizar.es/record/128005oai:zaguan.unizar.es:128005Journal of medical case reports and case series 1, 3 (2020), [5 pp.]byhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccess