摘要：We check-out a set of statistical network descriptors for classification of variousvascular networks generated by model of Tumour Induced Angiogenesis. In the model two spatio-temporalscales representing global behaviour of vascular network and local processes in surround tissue are clearlyseparated. The grid of cellular automata (CA) corresponds to both healthy and cancerous tissues as well asit is used as the environment for simulating the fast processes of nutrients (O2) and TAF (tumour angiogenicfactors) diffusion. Vascular network is modelled by using irregular graph of cellular automata placed onthe top of CA grid. The model is controlled by a selected set of parameters reflecting influence of variousfactors such as TAF and O2 concentration and model parameters responsible for vessels sprouting andanastomosis. We discuss an application of single network descriptors against approach based on using a setof various descriptors subjected multidimensional analysis method.
