Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort.

Emma Riis SkarsøLasse RefsgaardAbhilasha SainiDitte Sloth MøllerEbbe Laugaard LorenzenElse MaaeKaren AndersenMaja Vestmø MaraldoMarie Louise MiloTine Bisballe NyengBirgitte Vrou OffersenStine Sofia Korreman

Published in: Acta oncologica (Stockholm, Sweden) (2023)

This study demonstrated a deep learning-based auto-segmentation model trained on curated clinical delineations which performs on par with a model trained on dedicated delineations, making it easier to develop multi-institutional auto-segmentation models.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
heart failure
quality improvement
atrial fibrillation
body composition