Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning

doi:10.3748/wjg.v28.i22.2494

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 28, Issue 22

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials 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 (7035)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-5) series, Tables (1-3) series.

Item

Count

PDF

331

WORD

136

HTML

3076

Figures (1-5)

893

Tables (1-3)

234

Sum=4670

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

254

Download

556

Sum=810

Publishing Process of This Article

Item

Count

Browse

409

Download

1146

Sum=1555

Jun 14, 2022 (publication date) through Aug 24, 2024

Times Cited of This Article

Times Cited (16)

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

Observational Study

World J Gastroenterol. Jun 14, 2022; 28(22): 2494-2508
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2494

Full Size Figure Download Figure

Figure 1 Flowchart. 2D-US: Two-dimensional ultrasound.

Citation: Li B, Tai DI, Yan K, Chen YC, Chen CJ, Huang SF, Hsu TH, Yu WT, Xiao J, Le L, Harrison AP. Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning. World J Gastroenterol 2022; 28(22): 2494-2508
URL: https://www.wjgnet.com/1007-9327/full/v28/i22/2494.htm
DOI: https://dx.doi.org/10.3748/wjg.v28.i22.2494