Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact.

Egger, Jan; Pepe, Antonio; Gsaxner, Christina; Jin, Yuan; Li, Jianning; Kern, Roman

Egger, Jan; Pepe, Antonio; Gsaxner, Christina; Jin, Yuan; Li, Jianning; Kern, Roman.

Afiliación

Egger J; Institute of Computer Graphics and Vision, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria.
Pepe A; Computer Algorithms for Medicine Laboratory, Graz, Austria.
Gsaxner C; Department of Oral and Maxillofacial Surgery, Medical University of Graz, Graz, Austria.
Jin Y; Institute for AI in Medicine (IKIM), University Medicine Essen, Essen, Germany.
Li J; Institute of Computer Graphics and Vision, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria.
Kern R; Computer Algorithms for Medicine Laboratory, Graz, Austria.

PeerJ Comput Sci ; 7: e773, 2021.

Article en En | MEDLINE | ID: mdl-34901429

Palabras clave

Artificial neural networks; Big data; Data analysis; Deep learning; Image analysis; Language processing; Machine learning; Medical image analysis; Meta-review; Speech recognition

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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: PeerJ Comput Sci Año: 2021 Tipo del documento: Article País de afiliación: Austria

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: PeerJ Comput Sci Año: 2021 Tipo del documento: Article País de afiliación: Austria