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Respiratory motion forecasting

Respiratory motion forecasting to compensate for the latency of the radiotherapy treatment systems and target more accurately chest tumors.

Papers

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Showing 1–3 of 3 papers

TitleStatusHype
Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer RadiotherapyCode1
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapyCode0
Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy—0
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