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...
| Główni autorzy: | , , , |
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| Kolejni autorzy: | |
| Format: | Journal Article |
| Język: | English |
| Wydane: |
2022
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| Hasła przedmiotowe: | |
| Dostęp online: | https://hdl.handle.net/10356/155268 |