Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study

doi:10.4251/wjgo.v17.i1.96439

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, 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 (1653)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-5) series, Tables (1-3) series.

Item

Count

PDF

HTML

805

Figures (1-5)

170

Tables (1-3)

199

Sum=1221

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

Download

298

Sum=366

Jan 15, 2025 (publication date) through May 26, 2025

Times Cited of This Article

Times Cited (0)

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Oncology

ISSN

1948-5204

Publisher of This Article

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

Retrospective Study

World J Gastrointest Oncol. Jan 15, 2025; 17(1): 96439
Published online Jan 15, 2025. doi: 10.4251/wjgo.v17.i1.96439

Full Size Figure Download Figure

Figure 3 Flowchart of subject enrollment in this study. MRI: Magnetic resonance imaging; MVI: Microvascular invasion; HCC: Hepatocellular carcinoma; ROI: Region of interest.

Citation: Nong HY, Cen YY, Lu SJ, Huang RS, Chen Q, Huang LF, Huang JN, Wei X, Liu MR, Li L, Ding K. Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study. World J Gastrointest Oncol 2025; 17(1): 96439
URL: https://www.wjgnet.com/1948-5204/full/v17/i1/96439.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i1.96439