Data-driven modeling and characterization of anti-angiogenic molecule effects on tumoral vascular density
Anti-angiogenic effects are characterized by a system identification approach. The solution relies on the association of in vivo protocol and image processing. An empirical model structure is selected according to experimental data. The identified model parameters are used to characterize effects of Bevacizumab.
data-driven modeling system identification image processing cancer angiogenesis