Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network
Author:
Affiliation:
1. Department of Radiation Oncology and Winship Cancer Institute Emory University Atlanta Georgia USA
Funder
National Cancer Institute
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15146
Reference46 articles.
1. Emphasizing Conformal Avoidance Versus Target Definition for IMRT Planning in Head-and-Neck Cancer
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4. Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer
5. Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer
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