Superpixel Segmentation of Chest Computerized Tomographic Images from COVID-19 Disease Patients

Ávila Gómez, Francisco Javier (Universidad de Zaragoza) ; Embid, Ismael ; Marcellán, Mª Concepción (Universidad de Zaragoza) ; Remón, Laura (Universidad de Zaragoza)

Resumen: Coronavirus 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.

Idioma: Inglés

DOI: 10.38207/jmcrcs20201042

Año: 2020

Publicado en: Journal of medical case reports and case series 1, 3 (2020), [5 pp.]
ISSN: 2692-9880

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Óptica (Dpto. Física Aplicada)