Predicting Gamma Passing Rates for Portal Dosimetry-Based IMRT QA Using Deep Learning
To assess if portal dosimetry-based IMRT QA gamma passing rates can be predicted with a Convolutional Neural Network (CNN) Model trained directly on the fluence maps without any domain expert knowledge. A total of 4268 beams were collected from various treatment site plans and analyzed using gamma c...
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Published in | International journal of radiation oncology, biology, physics Vol. 111; no. 3; pp. e110 - e111 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.11.2021
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Online Access | Get full text |
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