Evaluation of COVID-19 chest computed tomography: A texture analysis based on three-dimensional entropy.

Gaudêncio, Andreia S; Vaz, Pedro G; Hilal, Mirvana; Mahé, Guillaume; Lederlin, Mathieu; Humeau-Heurtier, Anne; Cardoso, João M

Gaudêncio, Andreia S; Vaz, Pedro G; Hilal, Mirvana; Mahé, Guillaume; Lederlin, Mathieu; Humeau-Heurtier, Anne; Cardoso, João M.

Afiliación

Gaudêncio AS; LIBPhys-UC, Department of Physics, University of Coimbra, Coimbra, 3004-516, Portugal.
Vaz PG; LIBPhys-UC, Department of Physics, University of Coimbra, Coimbra, 3004-516, Portugal.
Hilal M; Univ Angers, LARIS - Laboratoire Angevin de Recherche en Ingénierie des Systèmes, 62 Avenue Notre-Dame du Lac, Angers, 49000, France.
Mahé G; UniversityHospital of Rennes, Rennes, 35000, France.
Lederlin M; UniversityHospital of Rennes, Rennes, 35000, France.
Humeau-Heurtier A; Univ Angers, LARIS - Laboratoire Angevin de Recherche en Ingénierie des Systèmes, 62 Avenue Notre-Dame du Lac, Angers, 49000, France.
Cardoso JM; LIBPhys-UC, Department of Physics, University of Coimbra, Coimbra, 3004-516, Portugal.

Biomed Signal Process Control ; 68: 102582, 2021 Jul.

Article en En | MEDLINE | ID: mdl-33824680

Palabras clave

COVID-19; Computed tomography; Multiscale entropy; Texture analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomed Signal Process Control Año: 2021 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Reino Unido

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