Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32 × 4d Model in Magnetic Resonance Elastography: Retrospective Study
The UNet-ResNet50-32 × 4d model exhibited robust performance and may serve as a reliable tool for the rapid and accurate assessment of liver fibrosis severity. The integration of automated segmentation into MRE analysis has the potential to improve clinical workflows and support timely decision-making in the management of chronic liver disease.
Authors
- Hsien‐Chang Shih
- Jia-Lang Xu (ORCID: https://orcid.org/0000-0002-8052-9419)
- Pei–Yuan Su (ORCID: https://orcid.org/0000-0002-6860-1051)
Institutions
- National Taichung University of Science and Technology (TW)
- National Chung Hsing University (TW)
- Changhua Christian Hospital (TW)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-09-28
- DOI
- https://doi.org/10.2196/80351
- Citations
- 3
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.06