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Noninvasive Isocitrate Dehydrogenase 1 Status Prediction in Grade II/III Glioma Based on Magnetic Resonance Images: A Transfer Learning Strategy.

Jin ZhangYuyao WangYang YangYu HanYing YuYuchuan HuShouheng LiangQian SunDanting ShangJiajun BiGuangbin CuiLinfeng Yan
Published in: Journal of computer assisted tomography (2024)
TL-CNNs (especially VGGNet) had a potential predictive value for IDH1 -mutant status of grade II/III gliomas.
Keyphrases
  • magnetic resonance
  • wild type
  • high grade
  • deep learning
  • low grade
  • convolutional neural network
  • optical coherence tomography
  • magnetic resonance imaging
  • human health
  • machine learning
  • risk assessment
  • climate change