Neural architecture search of echocardiography view classifiers.

Azarmehr, Neda; Ye, Xujiong; Howard, James P; Lane, Elisabeth S; Labs, Robert; Shun-Shin, Matthew J; Cole, Graham D; Bidaut, Luc; Francis, Darrel P; Zolgharni, Massoud

Azarmehr, Neda; Ye, Xujiong; Howard, James P; Lane, Elisabeth S; Labs, Robert; Shun-Shin, Matthew J; Cole, Graham D; Bidaut, Luc; Francis, Darrel P; Zolgharni, Massoud.

Afiliación

Azarmehr N; University of Lincoln, School of Computer Science, Lincoln, United Kingdom.
Ye X; University of Lincoln, School of Computer Science, Lincoln, United Kingdom.
Howard JP; Imperial College London, National Heart and Lung Institute, London, United Kingdom.
Lane ES; University of West London, School of Computing and Engineering, London, United Kingdom.
Labs R; University of West London, School of Computing and Engineering, London, United Kingdom.
Shun-Shin MJ; Imperial College London, National Heart and Lung Institute, London, United Kingdom.
Cole GD; Imperial College London, National Heart and Lung Institute, London, United Kingdom.
Bidaut L; University of Lincoln, School of Computer Science, Lincoln, United Kingdom.
Francis DP; Imperial College London, National Heart and Lung Institute, London, United Kingdom.
Zolgharni M; Imperial College London, National Heart and Lung Institute, London, United Kingdom.

J Med Imaging (Bellingham) ; 8(3): 034002, 2021 May.

Article en En | MEDLINE | ID: mdl-34179218

Palabras clave

AutoML; deep learning; echocardiography; neural architecture search; view classification

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Med Imaging (Bellingham) Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

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