Artificial intelligence in dentomaxillofacial radiology

doi:10.4329/wjr.v14.i3.55

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 14, Issue 3

This Article

Academic Content and Language Evaluation 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 (4326)

All Articles published online

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

Item

Count

PDF

275

WORD

100

HTML

2155

Figures (1-1)

163

Tables (1-1)

168

Sum=2861

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

209

Download

417

Sum=626

Publishing Process of This Article

Item

Count

Browse

296

Download

543

Sum=839

Mar 28, 2022 (publication date) through Apr 27, 2024

Times Cited of This Article

Times Cited (2)

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

Editorial

World J Radiol. Mar 28, 2022; 14(3): 55-59
Published online Mar 28, 2022. doi: 10.4329/wjr.v14.i3.55

Full Size Figure Download Figure

Figure 1 Current artificial intelligence studies in the field of dentomaxillofacial radiology. CBCT: Cone beam computed tomography.

Citation: Gokdeniz ST, Kamburoğlu K. Artificial intelligence in dentomaxillofacial radiology. World J Radiol 2022; 14(3): 55-59
URL: https://www.wjgnet.com/1949-8470/full/v14/i3/55.htm
DOI: https://dx.doi.org/10.4329/wjr.v14.i3.55