Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors.

Ergun AhunbayAbdul Kareem ParchurJiaofeng XuDan ThillEric S PaulsonX Allen Li

Published in: Physics in medicine and biology (2023)

A DL based automated segmentation method was developed to generate air volumes on specialized abdominal MR images and generate results that are practically equivalent to the manual contouring of air volumes.

Keyphrases

deep learning
convolutional neural network
radiation therapy
artificial intelligence
machine learning
contrast enhanced
magnetic resonance imaging
weight loss
social media
magnetic resonance
squamous cell carcinoma
healthcare
radiation induced
optical coherence tomography