Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging

Lignende værker

• Radiomic Feature-Based Predictive Model for Microvascular Invasion in Patients With Hepatocellular Carcinoma
  af: He, Mu, et al.
  Udgivet: (2020)
• Preoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging
  af: Chen, Yuying, et al.
  Udgivet: (2021)
• Diagnostic value of magnetic resonance imaging features of microvascular invasion in hepatocellular carcinoma: a meta-analysis
  af: Lang Wang, et al.
  Udgivet: (2022-09-01)
• A nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in hepatocellular carcinoma
  af: Zhang, Rui, et al.
  Udgivet: (2019)
• Deep Segmentation Feature-Based Radiomics Improves Recurrence Prediction of Hepatocellular Carcinoma
  af: Jifei Wang, et al.
  Udgivet: (2022-01-01)