Application of artificial intelligence for the diagnosis, treatment, and prognosis of pancreatic cancer

doi:10.35712/aig.v1.i1.19

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 1, Issue 1

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 (8760)

All Articles published online

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

Item

Count

PDF

535

WORD

218

HTML

4399

Figures (1-3)

485

Tables (1-1)

395

Sum=6032

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

419

Download

683

Sum=1102

Publishing Process of This Article

Item

Count

Browse

707

Download

919

Sum=1626

Jul 28, 2020 (publication date) through Apr 25, 2024

Times Cited of This Article

Times Cited (1)

Journal Information of This Article

Publication Name

Artificial Intelligence in Gastroenterology

ISSN

2644-3236

Publisher of This Article

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

Minireviews

Artif Intell Gastroenterol. Jul 28, 2020; 1(1): 19-29
Published online Jul 28, 2020. doi: 10.35712/aig.v1.i1.19

Full Size Figure Download Figure

Figure 2 Algorithm of deep learning. Data were passed from layer to layer: from the input layer to the output layer.

Citation: Lin HM, Xue XF, Wang XG, Dang SC, Gu M. Application of artificial intelligence for the diagnosis, treatment, and prognosis of pancreatic cancer. Artif Intell Gastroenterol 2020; 1(1): 19-29
URL: https://www.wjgnet.com/2644-3236/full/v1/i1/19.htm
DOI: https://dx.doi.org/10.35712/aig.v1.i1.19