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Deep-learning prostate cancer detection and segmentation on biparametric versus multiparametric magnetic resonance imaging: Added value of dynamic contrast-enhanced imaging.

Yoh MatsuokaYoshihiko UenoSho UeharaHiroshi TanakaMasaki KobayashiHajime TanakaSoichiro YoshidaMinato YokoyamaItsuo KumazawaYasuhisa Fujii
Published in: International journal of urology : official journal of the Japanese Urological Association (2023)
When using deep learning, multiparametric imaging provides superior performance to biparametric imaging in the specificity and positive predictive value, especially in the peripheral zone. Dynamic contrast-enhanced imaging helps reduce overdiagnosis in multiparametric imaging.
Keyphrases
  • deep learning
  • high resolution
  • prostate cancer
  • magnetic resonance imaging
  • convolutional neural network
  • machine learning
  • computed tomography
  • artificial intelligence
  • magnetic resonance