Noninvasive Classification of Advanced Liver Fibrosis Using Clinical Data and Non-Contrast MRI: Fusion of Clinical, Radiomic, and Deep Learning Models.
- DOI
- 10.1007/s10278-026-02215-4
- Published
- 2026 Aug 31
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02215-4,
title = {Noninvasive Classification of Advanced Liver Fibrosis Using Clinical Data and Non-Contrast MRI: Fusion of Clinical, Radiomic, and Deep Learning Models.},
author = {Huo J and Wang Y and Ding W and Zhang R and Gao H and Zhang J and Jin W and Zhu Y},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02215-4},
url = {https://doi.org/10.1007/s10278-026-02215-4}
}RIS
TY - JOUR TI - Noninvasive Classification of Advanced Liver Fibrosis Using Clinical Data and Non-Contrast MRI: Fusion of Clinical, Radiomic, and Deep Learning Models. AU - Huo J AU - Wang Y AU - Ding W AU - Zhang R AU - Gao H AU - Zhang J AU - Jin W AU - Zhu Y PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02215-4 UR - https://doi.org/10.1007/s10278-026-02215-4 ER -
APA
J, H., Y, W., W, D., R, Z., H, G., J, Z., W, J., & Y, Z. (2026). Noninvasive Classification of Advanced Liver Fibrosis Using Clinical Data and Non-Contrast MRI: Fusion of Clinical, Radiomic, and Deep Learning Models.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02215-4
Source records
- pubmed · retrieved 2026-09-25T23:01:51.884Z