Impact of blurs on machine-learning aided digital pathology image analysis

doi:10.35713/aic.v1.i1.31

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 1, Issue 1

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 (8913)

All Articles published online

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

Item

Count

PDF

432

WORD

270

HTML

3437

Figures (1-4)

1063

Tables (1-2)

575

Sum=5777

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

538

Download

849

Sum=1387

Publishing Process of This Article

Item

Count

Browse

652

Download

1097

Sum=1749

Jun 28, 2020 (publication date) through Nov 24, 2024

Times Cited of This Article

Times Cited (3)

Journal Information of This Article

Publication Name

Artificial Intelligence in Cancer

ISSN

2644-3228

Publisher of This Article

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

Basic Study

Artif Intell Cancer. Jun 28, 2020; 1(1): 31-38
Published online Jun 28, 2020. doi: 10.35713/aic.v1.i1.31

Full Size Figure Download Figure

Figure formula 1

Citation: Ogura M, Kiyuna T, Yoshida H. Impact of blurs on machine-learning aided digital pathology image analysis. Artif Intell Cancer 2020; 1(1): 31-38
URL: https://www.wjgnet.com/2644-3228/full/v1/i1/31.htm
DOI: https://dx.doi.org/10.35713/aic.v1.i1.31