Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging

doi:10.12998/wjcc.v9.i31.9376

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 9, Issue 31

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 (3597)

All Articles published online

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

Item

Count

PDF

229

WORD

125

HTML

1900

Figures (1-4)

200

Tables (1-2)

192

Sum=2646

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

380

Download

571

Sum=951

Nov 6, 2021 (publication date) through May 3, 2024

Times Cited of This Article

Times Cited (5)

Journal Information of This Article

Publication Name

World Journal of Clinical Cases

ISSN

2307-8960

Publisher of This Article

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

Minireviews

World J Clin Cases. Nov 6, 2021; 9(31): 9376-9385
Published online Nov 6, 2021. doi: 10.12998/wjcc.v9.i31.9376

Full Size Figure Download Figure

Figure 2 Origin and development of convolutional neural network.

Citation: Cai YW, Dong FF, Shi YH, Lu LY, Chen C, Lin P, Xue YS, Chen JH, Chen SY, Luo XB. Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging. World J Clin Cases 2021; 9(31): 9376-9385
URL: https://www.wjgnet.com/2307-8960/full/v9/i31/9376.htm
DOI: https://dx.doi.org/10.12998/wjcc.v9.i31.9376