Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects

doi:10.3748/wjg.v26.i34.5090

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 26, Issue 34

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 (8895)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-3) series, Tables (1-2) series.

Item

Count

PDF

726

WORD

219

HTML

5136

Figures (1-3)

337

Tables (1-2)

261

Sum=6679

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

318

Download

434

Sum=752

Publishing Process of This Article

Item

Count

Browse

574

Download

890

Sum=1464

Sep 14, 2020 (publication date) through Nov 4, 2024

Times Cited of This Article

Times Cited (28)

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. Sep 14, 2020; 26(34): 5090-5100
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5090

Open in New Tab Full Size Figure Download Figure

Figure 1 Applications of artificial intelligence in colorectal polyps and cancer. AI: Artificial intelligence; CRC: Colorectal cancer; LNM: Lymph node metastasis.

Open in New Tab Full Size Figure Download Figure

Figure 2 Workflow of the artificial intelligence system in endoscopy. The location and diagnostic probability of polyps can be marked on the screen in real time with an alarm. AI: Artificial intelligence.

Open in New Tab Full Size Figure Download Figure

Figure 3 Deep learning using deep neural network for colonic polyp classification.

Citation: Wang KW, Dong M. Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. World J Gastroenterol 2020; 26(34): 5090-5100
URL: https://www.wjgnet.com/1007-9327/full/v26/i34/5090.htm
DOI: https://dx.doi.org/10.3748/wjg.v26.i34.5090