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Principles of artificial intelligence in radiooncology.

Yixing HuangAhmed GomaaDaniel HöflerPhilipp SchubertUdo GaiplBenjamin FreyRainer FietkauChristoph BertFlorian Putz
Published in: Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] (2024)
This review provides a comprehensive overview of deep learning principles tailored toward radiation oncology. It aims to enhance the understanding of AI-based research and software applications, thereby bridging the gap between complex technological concepts and clinical practice in radiation oncology.
Keyphrases
  • artificial intelligence
  • deep learning
  • clinical practice
  • big data
  • machine learning
  • convolutional neural network
  • smoking cessation
  • data analysis