
	Trends in Applied Sciences Research
	Year: 2012 \| Volume: 7 \| Issue: 2 \| Page No.: 132-141

Numerical Simulation of Tumor Development Stages Using Artificial Neural Network

Ali Ahmadian, Mohamed Bin Suleiman and Fudziah Ismail

Abstract: This study is developed a mathematical model to describe interactions between tumor cells and a compliant blood vessel that supplies oxygen to the region. In addition to proliferating, it is assumed that the tumor cells die through apoptosis and necrosis. It is also assumed that pressure differences within the tumor mass, caused by spatial variations in proliferation and degradation, cause cell motion. The behavior of the blood vessel is coupled into the model for the oxygen tension. The model equations tracked the evolution of the densities of live and dead cells, the oxygen tension within the tumor, the live and dead cell speeds, the pressure and the width of the blood vessel. This study presented the exact solutions to the model for certain parameter regimes and then solve the model with artificial neural networks for more general parameter regimes. This study also showed the resulting steady-state and porous medium behavior varies as the time is changed.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Stock Price Prediction of the Most Profitable Stock Exchange in the Asia During the Global Financial Crisis: A Comparative Study of Tehran Stock Exchange

•	An Approximation Method for Solving Nonconvex Quadratic Programming Problems

•	A Comparison Between Three Neural Network Models for Classification Problems

•	Apoptosis Induction and Cytolytic Effects of Newcastle Disease Virus Strain Af2240 on DBTRG.05 mg Brain Tumor Cell Line

•	Effect of Weight Updates Functions in QSAR/QSPR Modeling using Artificial Neural Network

How to cite this article:

Ali Ahmadian, Mohamed Bin Suleiman and Fudziah Ismail, 2012. Numerical Simulation of Tumor Development Stages Using Artificial Neural Network. Trends in Applied Sciences Research, 7: 132-141.

URL: https://scialert.net/abstract/?doi=tasr.2012.132.141

COMMENT ON THIS PAPER

Navigation


		Previous Issues
		Submit a Manuscript