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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-04-01
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Series: | Physics and Imaging in Radiation Oncology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405631622000288 |