Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C

doi:10.4254/wjh.v15.i1.107

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 15, 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 (2404)

All Articles published online

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

Item

Count

PDF

133

WORD

HTML

1517

Figures (1-2)

149

Tables (1-4)

123

Sum=1948

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

151

Download

305

Sum=456

Jan 27, 2023 (publication date) through Apr 19, 2024

Times Cited of This Article

Times Cited (0)

Journal Information of This Article

Publication Name

World Journal of Hepatology

ISSN

1948-5182

Publisher of This Article

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

Observational Study

World J Hepatol. Jan 27, 2023; 15(1): 107-115
Published online Jan 27, 2023. doi: 10.4254/wjh.v15.i1.107

Open in New Tab Full Size Figure Download Figure

Figure 1 Strobe diagram. HCV: Hepatitis C virus; ML: Machine learning.

Open in New Tab Full Size Figure Download Figure

Figure 2 Distribution of actual label vs predicted label during internal testing.

Citation: Singh Y, Gogtay M, Yekula A, Soni A, Mishra AK, Tripathi K, Abraham G. Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C. World J Hepatol 2023; 15(1): 107-115
URL: https://www.wjgnet.com/1948-5182/full/v15/i1/107.htm
DOI: https://dx.doi.org/10.4254/wjh.v15.i1.107