Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models

doi:10.3748/wjg.v30.i48.5111

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 30, Issue 48

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 (238)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-12) series, Tables (1-7) series.

Item

Count

PDF

HTML

Figures (1-12)

Tables (1-7)

Sum=127

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

Download

Sum=67

Publishing Process of This Article

Item

Count

Browse

Download

Sum=37

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

Times Cited of This Article

Times Cited (0)

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

Retrospective Study

World J Gastroenterol. Dec 28, 2024; 30(48): 5111-5129
Published online Dec 28, 2024. doi: 10.3748/wjg.v30.i48.5111

Full Size Figure Download Figure

Figure 1 Dataset example.

Citation: Xiao ZG, Chen XQ, Zhang D, Li XY, Dai WX, Liang WH. Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models. World J Gastroenterol 2024; 30(48): 5111-5129
URL: https://www.wjgnet.com/1007-9327/full/v30/i48/5111.htm
DOI: https://dx.doi.org/10.3748/wjg.v30.i48.5111