Machine learning and deep learning prediction of patient specific quality assurance in breast IMRT radiotherapy plans using Halcyon specific complexity indices.

Christine BoutryNoémie N MoreauCyril JaudetLaetitia LechippeyAurélien Corroyer-Dulmont

Published in: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology (2024)

The DL model demonstrated a high degree of accuracy in its predictions of the quality assurance (QA) results. Our online predictive QA-platform offers significant time savings in terms of accelerator occupancy and working time.

Keyphrases

deep learning
machine learning
artificial intelligence
early stage
convolutional neural network
social media
locally advanced
high throughput
big data
radiation therapy
health insurance
health information
squamous cell carcinoma
healthcare
rectal cancer