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Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas.

W HanLei QinCamden P BayXin ChenKun-Hsing YuNityanand P MiskinA LiXiaoyin XuGeoffrey S Young
Published in: AJNR. American journal of neuroradiology (2019)
A deep learning model combining deep and radiomics features can dichotomize patients with high-grade gliomas into long- and short-term survivors.
Keyphrases
  • high grade
  • deep learning
  • low grade
  • lymph node metastasis
  • machine learning
  • contrast enhanced
  • convolutional neural network
  • young adults
  • squamous cell carcinoma
  • free survival
  • neural network