Machine learning-based CT radiomics for identifying high risk esophageal varices of bleeding in hepatocellular carcinoma.
- DOI
- 10.1007/s00261-026-05808-3
- Published
- 2026 Oct 20
- Container
- Abdominal radiology (New York)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00261-026-05808-3,
title = {Machine learning-based CT radiomics for identifying high risk esophageal varices of bleeding in hepatocellular carcinoma.},
author = {Li PC and Ma CY and Chang SA and Chen CC},
year = {2026},
journal = {Abdominal radiology (New York)},
doi = {10.1007/s00261-026-05808-3},
url = {https://doi.org/10.1007/s00261-026-05808-3}
}RIS
TY - JOUR TI - Machine learning-based CT radiomics for identifying high risk esophageal varices of bleeding in hepatocellular carcinoma. AU - Li PC AU - Ma CY AU - Chang SA AU - Chen CC PY - 2026 JO - Abdominal radiology (New York) DO - 10.1007/s00261-026-05808-3 UR - https://doi.org/10.1007/s00261-026-05808-3 ER -
APA
PC, L., CY, M., SA, C., & CC, C. (2026). Machine learning-based CT radiomics for identifying high risk esophageal varices of bleeding in hepatocellular carcinoma.. Abdominal radiology (New York). https://doi.org/10.1007/s00261-026-05808-3
Source records
- pubmed · retrieved 2026-11-10T12:57:18.271Z