Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives

被引：14

作者：

Bang, Chang Seok ^{[1
]}

机构：

[1] Hallym Univ, Coll Med, Dept Internal Med, 1 Hallymdaehak Gil, Chunchon 24252, South Korea

来源：

KOREAN JOURNAL OF GASTROENTEROLOGY | 2020年 / 75卷 / 03期

关键词：

Artificial intelligence; Neural networks; computer; Deep learning; Gastroenterology; Endoscopy;

D O I：

10.4166/kjg.2020.75.3.120

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

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.

引用

页码：120 / 131

页数：12

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