Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives / 대한소화기학회지
The Korean Journal of Gastroenterology
;
: 120-131, 2020.
Artículo
en Coreano
| WPRIM
| ID: wpr-816690
ABSTRACT
Artificial intelligence using deep learning has been applied to gastrointestinal disorders for the detection, classification, and delineation of various lesion images. With the accumulation of enormous medical records, the evolution of computation power with graphic processing units, and the widespread use of open-source libraries in large-scale machine learning processes, medical artificial intelligence is overcoming its traditional limitations. This paper explains the basic concepts of deep learning model establishment and summarizes previous studies on upper gastrointestinal disorders. The limitations and perspectives on future development are also discussed.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Idioma:
Coreano
Revista:
The Korean Journal of Gastroenterology
Año:
2020
Tipo del documento:
Artículo
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