- Tytuł:
- Multiple Machine-Learning Fusion Model Based on Gd-EOB-DTPA-Enhanced MRI and Aminotransferase-to-Platelet Ratio and Gamma-Glutamyl Transferase-to-Platelet Ratio to Predict Microvascular Invasion in Solitary Hepatocellular Carcinoma: A Multicenter Study
- Autorzy:
- Temat:
-
hepatocellular carcinoma
microvascular invasion
inflammatory biomarker
magnetic resonance imaging
machine learning
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282 - Źródło:
- Journal of Hepatocellular Carcinoma, Vol Volume 11, Pp 427-442 (2024)
- Opis pliku:
- electronic resource
- Relacje:
- https://www.dovepress.com/multiple-machine-learning-fusion-model-based-on-gd-eob-dtpa-enhanced-m-peer-reviewed-fulltext-article-JHC; https://doaj.org/toc/2253-5969
- Dostęp URL:
- https://doaj.org/article/7c9ccde678de4bfd9315b4f29b499da2  Link otwiera się w nowym oknie
Czasopismo naukowe