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: Article (Published version)
Área (Departamento): Área Óptica (Dpto. Física Aplicada)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Exportado de SIDERAL (2023-10-27-11:22:50)
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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: Article (Published version)
Área (Departamento): Área Óptica (Dpto. Física Aplicada)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Exportado de SIDERAL (2023-10-27-11:22:50)
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Record created 2023-10-27, last modified 2023-10-27