Computer-aided clinical image analysis as a predictor of sentinel lymph node positivity in cutaneous melanoma

doi:10.5306/wjco.v13.i8.702

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 13, Issue 8

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 (2943)

All Articles published online

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

Item

Count

PDF

270

WORD

HTML

1033

Figures (1-3)

138

Tables (1-3)

136

Sum=1652

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

175

Download

386

Sum=561

Publishing Process of This Article

Item

Count

Browse

253

Download

477

Sum=730

Aug 24, 2022 (publication date) through Apr 25, 2024

Times Cited of This Article

Times Cited (1)

Journal Information of This Article

Publication Name

World Journal of Clinical Oncology

ISSN

2218-4333

Publisher of This Article

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

Retrospective Study

World J Clin Oncol. Aug 24, 2022; 13(8): 702-711
Published online Aug 24, 2022. doi: 10.5306/wjco.v13.i8.702

Full Size Figure Download Figure

Figure 3 Measurements.

Citation: Papadakis M, Paschos A, Papazoglou AS, Manios A, Zirngibl H, Manios G, Koumaki D. Computer-aided clinical image analysis as a predictor of sentinel lymph node positivity in cutaneous melanoma. World J Clin Oncol 2022; 13(8): 702-711
URL: https://www.wjgnet.com/2218-4333/full/v13/i8/702.htm
DOI: https://dx.doi.org/10.5306/wjco.v13.i8.702