A Transformer-Based Deep Learning Model for predicting Early Recurrence in Hepatocellular Carcinoma After Hepatectomy Using Intravoxel Incoherent Motion Images
The ViT-fDL model based on IVIM can be useful for preoperative prediction early recurrence in HCC. The combined model was a more effective and precise prediction tool than other models, promising to guide individualized postoperative monitoring.
Authors
- Chenggong Yan (ORCID: https://orcid.org/0000-0002-2968-4595)
- Baoer Liu
- Hongxiang Li (ORCID: https://orcid.org/0000-0002-1399-8039)
- Yikai Xu
- Wu Zhou
- Zeyu Zheng
- Xiang Qin
- Jing Zhang
- Yang Chen
- Zehong Qiu
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Nanfang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/jhc.s564217
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China