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Improved quantitative parameter estimation for prostate T 2 relaxometry using convolutional neural networks.

Patrick J BolanSara L SaundersKendrick KayMitchell GrossMehmet AkcakayaGregory J Metzger
Published in: Magma (New York, N.Y.) (2024)
estimation performance compared to conventional curve fitting, especially in low signal-to-noise regions.
Keyphrases
  • convolutional neural network
  • deep learning
  • prostate cancer
  • air pollution
  • high resolution
  • benign prostatic hyperplasia