Fast and accurate online sequential learning of respiratory motion with random convolution nodes for radiotherapy applications
Accurate prediction of tumor motion for motion adaptive radiotherapy has been a challenge as respiration-induced motion is non-stationary in nature and often subjected to irregularities. Despite having a plethora of works for predicting this motion, their tracking capabilities are usually prone to l...
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Awduron Eraill: | |
Fformat: | Journal Article |
Iaith: | English |
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2022
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Mynediad Ar-lein: | https://hdl.handle.net/10356/155268 |