Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study
The ANN model constructed using the dominant features of the combined group can be recommended as a non-invasive method for preoperative prediction of HCC MVI status.
Authors
- Jian-Ning Huang
- Lifeng Huang (ORCID: https://orcid.org/0000-0002-0222-1734)
- S. Lu
- Man-Rong Liu
- Rong‐Long Huang
- Qiong Chen (ORCID: https://orcid.org/0000-0002-2534-8834)
- Wei Xue (ORCID: https://orcid.org/0000-0002-7686-7693)
- Li Lin (ORCID: https://orcid.org/0000-0003-2783-1114)
- Ke Ding (ORCID: https://orcid.org/0000-0001-7869-4143)
- H Nong
- Yong-Yi Cen
Institutions
- Guangxi Medical University (CN)
- The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Affiliated Hospital of Youjiang Medical University for Nationalities (CN)
- Riverside Hospital of Guangxi Zhuang Autonomous Region (CN)
Publication Details
- Journal
- World Journal of Gastrointestinal Oncology
- Published
- 2024-12-11
- DOI
- https://doi.org/10.4251/wjgo.v17.i1.96439
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40