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4D radiomics: impact of 4D-CBCT image quality on radiomic analysis.

Zeyu ZhangMi HuangZhuoran JiangYushi ChangJordan TorokFang-Fang YinLei Ren
Published in: Physics in medicine and biology (2021)
The study demonstrated that 4D-CBCT image quality has a significant impact on the radiomic analysis. The deep learning-based augmentation technique proved to be an effective approach to enhance 4D-CBCT image quality to improve the accuracy of radiomic analysis.
Keyphrases
  • image quality
  • computed tomography
  • dual energy
  • deep learning
  • magnetic resonance imaging
  • squamous cell carcinoma
  • artificial intelligence
  • machine learning
  • cone beam computed tomography
  • soft tissue