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Direct three-dimensional segmentation of prostate glands with nnU-Net.

Rui WangSarah S L ChowRobert B SerafinWeisi XieQinghua HanElena BaraznenokLydia LanKevin W BishopJonathan T C Liu
Published in: Journal of biomedical optics (2024)
Our trained DL-based 3D segmentation model will facilitate future studies to demonstrate the value of computational 3D pathology for guiding critical treatment decisions for patients with prostate cancer.
Keyphrases
  • prostate cancer
  • deep learning
  • convolutional neural network
  • radical prostatectomy
  • current status
  • resistance training
  • machine learning
  • body composition
  • case control