Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

S Iseke, Tal Zeevi, AS Kucukkaya, R Raju, M Gross, SP Haider, et al.

American Journal of Roentgenology, 220(2):245-255, 2022

Paper

Editorial Commentary

This work was referenced in an editorial comment in the American Journal of Roentgenology (August 2022) on MRI-based machine learning for recurrence prediction in hepatocellular carcinoma.

Citation

@article{iseke2022machine,
  title={Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study},
  author={Iseke, S and Zeevi, Tal and Kucukkaya, AS and Raju, R and Gross, M and Haider, SP and et al.},
  journal={American Journal of Roentgenology},
  volume={220},
  number={2},
  pages={245--255},
  year={2022},
  doi={10.2214/AJR.22.28077}
}