Original paper
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network
Abstract
Auto-segmentation algorithms offer a potential solution to eliminate the labor-intensive, time-consuming, and observer-dependent manual delineation of organs-at-risk (OARs) in radiotherapy treatment planning. This study aimed to develop a deep learning-based automated OAR delineation method to tackle the current challenges remaining in achieving reliable expert performance with the state-of-the-art auto-delineation algorithms.The accuracy of OAR...
Paper Details
Title
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network
Published Date
Aug 18, 2021
Journal
Volume
48
Issue
10
Pages
5862 - 5873
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Notes
History