Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy.

Jie DingYing ZhangAsma AmjadChristina SarosiekNguyen Phuong DangMohammad ZareniaX Allen Li

Published in: Physics in medicine and biology (2023)

The obtained ACR workflow substantially improves the accuracy of DLAS bowel contours, minimizing the manual editing time and accelerating the segmentation process of MRgART.

Keyphrases

deep learning
convolutional neural network
crispr cas
artificial intelligence
early stage
machine learning
radiation therapy
locally advanced
contrast enhanced
squamous cell carcinoma
magnetic resonance imaging
rectal cancer