Similar Items: Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma
- Angiogenic Prognostic Signature for Stratification in Hepatocellular Carcinoma
- Decoding Treatment Response in Hepatocellular Carcinoma: The Era of Radiomics and Radiogenomics
- Prognostic Relevance of Neddylation-Related Genes in Hepatocellular Carcinoma
- CECT Radiomics and Liver Fibrosis Markers for Predicting Early Recurrence in Older Patients with Hepatocellular Carcinoma
- Machine Learning-Based Radiopatho-Clinical Model Integrating Ultrasound Radiomics and Kleiner Score for Prognosis Prediction in NAFLD-Related Hepatocellular Carcinoma
- Preoperative Prediction of Glypican-3 Expression in Hepatocellular Carcinoma Using Sonazoid Contrast-Enhanced Ultrasound Radiomics