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Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.

H ZhouR HuOliver Y TangC HuL TangKen ChangQ ShenHarrison X BaiB ZouBo XiaoJerrold L BoxermanW ChenRaymond Y HuangLi YangHarrison X BaiC Zhu
Published in: AJNR. American journal of neuroradiology (2020)
Automatic machine learning based on routine MR imaging classified pediatric posterior fossa tumors with high accuracy compared with manual expert pipeline optimization and qualitative expert MR imaging review.
Keyphrases
  • machine learning
  • clinical practice
  • contrast enhanced
  • deep learning
  • artificial intelligence
  • big data
  • magnetic resonance
  • computed tomography
  • neural network
  • childhood cancer