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Multi-center Dose Prediction Using Attention-aware Deep learning Algorithm Based on Transformers for Cervical Cancer Radiotherapy.

Z WuX JiaL LuC XuY PangS PengM LiuY Wu
Published in: Clinical oncology (Royal College of Radiologists (Great Britain)) (2024)
AtTranNet showed the feasibility and reasonable accuracy in the dose prediction for cervical cancer in multiple centers. The model can also be generalized for endometrial cancer with different prescriptions without any transfer learning.
Keyphrases
  • endometrial cancer
  • deep learning
  • machine learning
  • early stage
  • artificial intelligence
  • working memory
  • radiation therapy
  • locally advanced
  • radiation induced