Name
Abstract | ||
|---|---|---|
Cancer is a complex disease in which a variety of phenomena interact over a wide range of spatial and temporal scales. In this article a theoretical framework will be introduced that is capable of linking together such processes to produce a de- tailed model of vascular tumour growth. The model is for- mulated as a hybrid cellular automaton and contains submod- els that describe subcellular, cellular and tissue level features. Model simulations will be presented to illustrate the effect that coupling between these different elements has on the tu- mour's evolution and its response to chemotherapy. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISBI.2006.1625040 | Arlington, VA |
Keywords | Field | DocType |
cancer,cellular automata,cellular biophysics,patient treatment,physiological models,tumours,cancer disease,cellular features,chemotherapy,hybrid cellular automaton,integrative modelling,subcellular features,tissue features,tumour evolution,vascular tumour growth | Cellular automaton,Cellular biophysics,Disease,Pattern recognition,Computer science,Automaton,Medical treatment,Artificial intelligence,Bioinformatics,Computational biology,Cancer,Patient treatment | Conference |
ISSN | ISBN | Citations |
1945-7928 | 0-7803-9576-X | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Helen Byrne | 1 | 0 | 1.01 |
| Markus Owen | 2 | 14 | 3.90 |
| Tomas Alarcón | 3 | 19 | 5.69 |
| Philip K. Maini | 4 | 238 | 36.37 |