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Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network.

Keisuke UemuraYoshito OtakeMasaki TakaoMazen SoufiAkihiro KawasakiNobuhiko SuganoYoshinobu Sato
Published in: International journal of computer assisted radiology and surgery (2021)
The proposed CNN model successfully segmented the calibration phantom regions in CT images with excellent accuracy.
Keyphrases
  • convolutional neural network
  • image quality
  • dual energy
  • deep learning
  • computed tomography
  • machine learning
  • contrast enhanced
  • low cost
  • high throughput
  • positron emission tomography