Model predictive tumour volume control using nonlinear optimization
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Publication:2101254
DOI10.1007/978-3-031-00978-5_10zbMath1504.92052OpenAlexW4296229064MaRDI QIDQ2101254
György Eigner, Bence Czakó, Levente Kovács, Dániel András Drexler, Ákos Zarándy, Máté Siket, Imre J. Rudas
Publication date: 5 December 2022
Full work available at URL: https://doi.org/10.1007/978-3-031-00978-5_10
nonlinear optimizationextended Kalman filternonlinear model predictive controlcancer treatmenttumor growth control
Nonlinear systems in control theory (93C10) Medical applications (general) (92C50) Model predictive control (93B45)
Cites Work
- A survey of optimization models on cancer chemotherapy treatment planning
- Mathematical approaches to optimization of cancer chemotherapy
- Modeling of tumor growth incorporating the effects of necrosis and the effect of Bevacizumab
- Optimal Impulsive Control for Cancer Therapy
- Fast Direct Multiple Shooting Algorithms for Optimal Robot Control
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