Multiparametric magnetic resonance imaging of deep learning-based super-resolution reconstruction for predicting histopathologic grade in hepatocellular carcinoma

doi:10.3748/wjg.v31.i34.111541

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 31, Issue 34

This Article

(58)

(70)

(0)

(1)

(1550)

(4)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials 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

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. Sep 14, 2025; 31(34): 111541
Published online Sep 14, 2025. doi: 10.3748/wjg.v31.i34.111541

Full Size Figure Download Figure

Figure 4 SHapley Additive exPlanations plot of super-resolution magnetic resonance imaging radiomics model based on XGBoost. SHAP: SHapley Additive exPlanations plot; PVP: Portal venous phase; T2WI: T2-weighted imaging; DWI: Diffusion-weighted imaging.

Citation: Wang ZZ, Song SM, Zhang G, Chen RQ, Zhang ZC, Liu R. Multiparametric magnetic resonance imaging of deep learning-based super-resolution reconstruction for predicting histopathologic grade in hepatocellular carcinoma. World J Gastroenterol 2025; 31(34): 111541
URL: https://www.wjgnet.com/1007-9327/full/v31/i34/111541.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i34.111541

Wang ZZ, Song SM, Zhang G, Chen RQ, Zhang ZC, Liu R. Multiparametric magnetic resonance imaging of deep learning-based super-resolution reconstruction for predicting histopathologic grade in hepatocellular carcinoma. World J Gastroenterol 2025; 31(34): 111541 [PMID: 40937458 DOI: 10.3748/wjg.v31.i34.111541]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.