Respiratory motion forecasting with online learning of recurrent neural networks for safety enhancement in externally guided radiotherapy.
Michel PohlMitsuru UesakaHiroyuki TakahashiKazuyuki DemachiRitu Bhusal ChhatkuliPublished in: CoRR (2024)
Keyphrases
- recurrent neural networks
- respiratory motion
- online learning
- patient specific
- chaotic time series
- image reconstruction
- radiation therapy
- motion compensated
- image registration
- motion compensation
- clinical applications
- feed forward
- magnetic resonance
- neural network
- short term
- e learning
- recurrent networks
- ct images
- image processing
- motion estimation
- image guided
- echo state networks
- prior information
- treatment planning
- active learning
- artificial neural networks
- motion model
- patient data
- medical images
- prediction error
- reconstruction process
- image data
- volumetric data
- deformable registration
- iterative process
- medical data
- x ray