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Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model.

Yan LeiBao FengMeiqi WanKuncai XuJin CuiChangyi MaJunqi SunChangyin YaoShiman GanJiangfeng ShiEn-Ming Cui
Published in: Abdominal radiology (New York) (2024)
The MDL model is a valuable noninvasive technique for preoperatively predicting MVI in HCC.
Keyphrases
  • deep learning
  • contrast enhanced
  • magnetic resonance imaging
  • computed tomography
  • pain management
  • machine learning
  • cell migration
  • image quality
  • magnetic resonance
  • dual energy
  • diffusion weighted imaging