An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography.

Vaidyanathan, Akshayaa; Guiot, Julien; Zerka, Fadila; Belmans, Flore; Van Peufflik, Ingrid; Deprez, Louis; Danthine, Denis; Canivet, Gregory; Lambin, Philippe; Walsh, Sean; Occhipinti, Mariaelena; Meunier, Paul; Vos, Wim; Lovinfosse, Pierre; Leijenaar, Ralph T H

Vaidyanathan, Akshayaa; Guiot, Julien; Zerka, Fadila; Belmans, Flore; Van Peufflik, Ingrid; Deprez, Louis; Danthine, Denis; Canivet, Gregory; Lambin, Philippe; Walsh, Sean; Occhipinti, Mariaelena; Meunier, Paul; Vos, Wim; Lovinfosse, Pierre; Leijenaar, Ralph T H.

Afiliação

Vaidyanathan A; Radiomics (Oncoradiomics SA), Liège, Belgium.
Guiot J; The D-Lab, Depts of Precision Medicine, and Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University, Maastricht, The Netherlands.
Zerka F; These authors have contributed equally to this work and share first authorship.
Belmans F; Dept of Pneumology, University Hospital of Liège, Liège, Belgium.
Van Peufflik I; These authors have contributed equally to this work and share first authorship.
Deprez L; Radiomics (Oncoradiomics SA), Liège, Belgium.
Danthine D; The D-Lab, Depts of Precision Medicine, and Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University, Maastricht, The Netherlands.
Canivet G; Radiomics (Oncoradiomics SA), Liège, Belgium.
Lambin P; Radiomics (Oncoradiomics SA), Liège, Belgium.
Walsh S; Dept of Radiology, University Hospital of Liège, Liège, Belgium.
Occhipinti M; Dept of Radiology, University Hospital of Liège, Liège, Belgium.
Meunier P; Dept of Computer Applications, University Hospital of Liège, Liège, Belgium.
Vos W; The D-Lab, Depts of Precision Medicine, and Radiology and Nuclear Medicine, GROW-School for Oncology, Maastricht University, Maastricht, The Netherlands.
Lovinfosse P; Radiomics (Oncoradiomics SA), Liège, Belgium.
Leijenaar RTH; Radiomics (Oncoradiomics SA), Liège, Belgium.

ERJ Open Res ; 8(2)2022 Apr.

Article em En | MEDLINE | ID: mdl-35509437

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ERJ Open Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica País de publicação: Reino Unido

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