Matches in SemOpenAlex for { <https://semopenalex.org/work/W2463550557> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2463550557 endingPage "598" @default.
- W2463550557 startingPage "595" @default.
- W2463550557 abstract "In real-time adaptive image-guided radiotherapy (IGRT), the beam delivery position is changed to follow the tumor motion. Most systems cannot respond instantaneously, and compensation for system lag is required. Typically, future tumor positions are predicted based on the respiratory motion tracked from an external surrogate. In the current work, a sliding window of time series data taken from the respiratory cycle is input into a neural network to predict a future position. The finite past history of the respiratory position is used to train the model. A nonlinear autoregressive neural network with exogenous inputs was used to simultaneously predict future positions. Patient data from the Respiratory Trace Generator (RTG) [1] was used for the training, validation and testing of the model. Parametric studies involving the number of input nodes (length of sliding window), number of hidden nodes and prediction horizon were performed. Tradeoffs between under-learning, training rate and over-learning were identified. While training error decreases as the number of hidden nodes increases, the validation error increases beyond 20 nodes. Large errors occur during transitions between inhale and exhale as well as when the prediction horizon increases." @default.
- W2463550557 created "2016-07-22" @default.
- W2463550557 creator A5065086786 @default.
- W2463550557 creator A5072076034 @default.
- W2463550557 creator A5090701020 @default.
- W2463550557 date "2015-01-01" @default.
- W2463550557 modified "2023-09-23" @default.
- W2463550557 title "Application and Parametric Studies of a Sliding Window Neural Network for Respiratory Motion Predictions of Lung Cancer Patients" @default.
- W2463550557 cites W1979830623 @default.
- W2463550557 cites W1989027364 @default.
- W2463550557 cites W2031512758 @default.
- W2463550557 cites W2045208074 @default.
- W2463550557 cites W2055799160 @default.
- W2463550557 cites W2065667902 @default.
- W2463550557 cites W2161350368 @default.
- W2463550557 cites W2484362049 @default.
- W2463550557 doi "https://doi.org/10.1007/978-3-319-19387-8_146" @default.
- W2463550557 hasPublicationYear "2015" @default.
- W2463550557 type Work @default.
- W2463550557 sameAs 2463550557 @default.
- W2463550557 citedByCount "3" @default.
- W2463550557 countsByYear W24635505572016 @default.
- W2463550557 countsByYear W24635505572019 @default.
- W2463550557 crossrefType "book-chapter" @default.
- W2463550557 hasAuthorship W2463550557A5065086786 @default.
- W2463550557 hasAuthorship W2463550557A5072076034 @default.
- W2463550557 hasAuthorship W2463550557A5090701020 @default.
- W2463550557 hasConcept C10138342 @default.
- W2463550557 hasConcept C102392041 @default.
- W2463550557 hasConcept C105795698 @default.
- W2463550557 hasConcept C111919701 @default.
- W2463550557 hasConcept C117251300 @default.
- W2463550557 hasConcept C154945302 @default.
- W2463550557 hasConcept C159877910 @default.
- W2463550557 hasConcept C162324750 @default.
- W2463550557 hasConcept C198082294 @default.
- W2463550557 hasConcept C2775924081 @default.
- W2463550557 hasConcept C2778751112 @default.
- W2463550557 hasConcept C33923547 @default.
- W2463550557 hasConcept C41008148 @default.
- W2463550557 hasConcept C47446073 @default.
- W2463550557 hasConcept C50644808 @default.
- W2463550557 hasConceptScore W2463550557C10138342 @default.
- W2463550557 hasConceptScore W2463550557C102392041 @default.
- W2463550557 hasConceptScore W2463550557C105795698 @default.
- W2463550557 hasConceptScore W2463550557C111919701 @default.
- W2463550557 hasConceptScore W2463550557C117251300 @default.
- W2463550557 hasConceptScore W2463550557C154945302 @default.
- W2463550557 hasConceptScore W2463550557C159877910 @default.
- W2463550557 hasConceptScore W2463550557C162324750 @default.
- W2463550557 hasConceptScore W2463550557C198082294 @default.
- W2463550557 hasConceptScore W2463550557C2775924081 @default.
- W2463550557 hasConceptScore W2463550557C2778751112 @default.
- W2463550557 hasConceptScore W2463550557C33923547 @default.
- W2463550557 hasConceptScore W2463550557C41008148 @default.
- W2463550557 hasConceptScore W2463550557C47446073 @default.
- W2463550557 hasConceptScore W2463550557C50644808 @default.
- W2463550557 hasLocation W24635505571 @default.
- W2463550557 hasOpenAccess W2463550557 @default.
- W2463550557 hasPrimaryLocation W24635505571 @default.
- W2463550557 hasRelatedWork W2028868645 @default.
- W2463550557 hasRelatedWork W2067224748 @default.
- W2463550557 hasRelatedWork W2100186965 @default.
- W2463550557 hasRelatedWork W2133817912 @default.
- W2463550557 hasRelatedWork W2177401844 @default.
- W2463550557 hasRelatedWork W2386387936 @default.
- W2463550557 hasRelatedWork W2947614696 @default.
- W2463550557 hasRelatedWork W2947937648 @default.
- W2463550557 hasRelatedWork W4226321418 @default.
- W2463550557 hasRelatedWork W4293522969 @default.
- W2463550557 isParatext "false" @default.
- W2463550557 isRetracted "false" @default.
- W2463550557 magId "2463550557" @default.
- W2463550557 workType "book-chapter" @default.