Artificial intelligence in breast ultrasound

doi:10.4329/wjr.v11.i2.19

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 11, Issue 2

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 (11899)

All Articles published online

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

Item

Count

PDF

792

WORD

285

HTML

8378

Figures (1-3)

300

Sum=9755

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

935

Download

1209

Sum=2144

Feb 28, 2019 (publication date) through Dec 2, 2024

Times Cited of This Article

Times Cited (75)

Journal Information of This Article

Publication Name

World Journal of Radiology

ISSN

1949-8470

Publisher of This Article

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

Minireviews

World J Radiol. Feb 28, 2019; 11(2): 19-26
Published online Feb 28, 2019. doi: 10.4329/wjr.v11.i2.19

Full Size Figure Download Figure

Figure 2 Workflow of deep learining algorithm.

Citation: Wu GG, Zhou LQ, Xu JW, Wang JY, Wei Q, Deng YB, Cui XW, Dietrich CF. Artificial intelligence in breast ultrasound. World J Radiol 2019; 11(2): 19-26
URL: https://www.wjgnet.com/1949-8470/full/v11/i2/19.htm
DOI: https://dx.doi.org/10.4329/wjr.v11.i2.19