Evaluation Of A Deep Learning-Based Auto-Segmentation Method For Quality Assurance Of Both Male And Female Pelvic Organ-At-Risk Contours In NCTN Clinical Trials Conferences uri icon

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authors

  • Geng, H
  • Men, K
  • Lukka, Himu
  • Leath, C
  • Kudchadker, R
  • Lee, Y
  • Benedict, SH
  • Xiao, Y

publication date

  • November 2020