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Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy.

Hwa Kyung ByunJee Suk ChangMin Seo ChoiJaehee ChunJinhong JungChiyoung JeongJin Sung KimYongjin ChangSeung Yeun ChungSeungryul LeeYong Bae Kim
Published in: Radiation oncology (London, England) (2021)
The autocontouring system had a similar performance in OARs as that of the experts' manual contouring. This system can be valuable in improving the quality of breast radiotherapy and reducing interphysician variability in clinical practice.
Keyphrases
  • deep learning
  • early stage
  • clinical practice
  • locally advanced
  • radiation induced
  • radiation therapy
  • weight loss
  • artificial intelligence
  • rectal cancer
  • convolutional neural network
  • quality improvement