A recurrent neural network for rapid detection of delivery errors during real-time portal dosimetry

Background and purpose: Real-time portal dosimetry compares measured images with predicted images to detect delivery errors as the radiotherapy treatment proceeds. This work aimed to investigate the performance of a recurrent neural network for processing image metrics so as to detect delivery error...

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Bibliographic Details
Main Authors: James L. Bedford, Ian M. Hanson
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000288