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Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study.

Hayato TomitaTatsuaki KobayashiEichi TakayaSono MishiroDaisuke HiraharaAtsuko FujikawaYoshiko KuriharaHidefumi MimuraYasuyuki Kobayashi
Published in: European radiology (2022)
• Deep learning models using intra-treatment diffusion-weighted imaging have prognostic value in patients with laryngeal and hypopharyngeal cancers treated by curative radiotherapy. • The findings from these models may contribute to determining the therapeutic strategy at the early stage of the treatment.
Keyphrases
  • early stage
  • diffusion weighted imaging
  • deep learning
  • machine learning
  • computed tomography
  • artificial intelligence
  • lymph node
  • convolutional neural network
  • lymph node metastasis