Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review

doi:10.3748/wjg.v27.i20.2531

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 27, Issue 20

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (6567)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-4) series, Tables (1-2) series.

Item

Count

PDF

499

WORD

235

HTML

3884

Figures (1-4)

440

Tables (1-2)

284

Sum=5342

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

342

Download

883

Sum=1225

May 28, 2021 (publication date) through Apr 24, 2024

Times Cited of This Article

Times Cited (13)

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Minireviews

World J Gastroenterol. May 28, 2021; 27(20): 2531-2544
Published online May 28, 2021. doi: 10.3748/wjg.v27.i20.2531

Full Size Figure Download Figure

Figure 1 Infographic with icons and timeline for artificial intelligence, machine learning and deep learning.

Citation: Yan T, Wong PK, Qin YY. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World J Gastroenterol 2021; 27(20): 2531-2544
URL: https://www.wjgnet.com/1007-9327/full/v27/i20/2531.htm
DOI: https://dx.doi.org/10.3748/wjg.v27.i20.2531