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A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on 18 F-FDG PET/CT images.

Wenting WeiGuorong JiaZhongyi WuTao WangHeng WangKezhen WeiChao ChengZhaobang LiuChangjing Zuo
Published in: Japanese journal of radiology (2022)
F-FDG PET/CT images, which provided competitive accuracy for the discrimination of PDAC and AIP.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • lymph node metastasis
  • optical coherence tomography
  • squamous cell carcinoma
  • computed tomography