Reaction-diffusion based tumor growth models have been widely used in the literature for modeling the growth of brain gliomas. Lately, recent models have started integrating medical …
Y Zhang, PX Liu, W Hou - Computer Methods and Programs in Biomedicine, 2022 - Elsevier
Abstract Background and Objective: Modeling of glioma growth and evolution is of key importance for cancer diagnosis, predicting clinical progression and improving treatment …
Gliomas, the most common of primary brain tumors, are known for their widespread invasion of tissue near the gross tumor mass. My research was based on my mentor's focus on …
JD Murray - Journal of biological dynamics, 2012 - Taylor & Francis
A practical mathematical model for glioblastomas (brain tumours), which incorporates the two key parameters of tumour growth, namely the cancer cell diffusion and the cell …
This paper is a natural three-dimensional extension of a simple two-dimensional mathematical model of glioma growth and diffusion. The model was originally constructed to …
Inter-individual heterogeneity of tumors leads to non-effectiveness of unique therapy plans. This issue has caused a growing interest in the field of personalized medicine and its …
A Elazab, Q Hu, F Jia, X Zhang - 2014 Cairo International …, 2014 - ieeexplore.ieee.org
This paper presents a content based modified reaction diffusion (RD) equation for modeling glioma growth. The reaction diffusion equation is modified by a weighted parameter that …
Objectives: Glioblastomas are aggressive primary brain cancers that are characterized by extensive infiltration into the brain and are highly resistant to treatment. Through …
Gliomas, the most aggressive form of brain cancer, are known for their widespread invasion into the tissue near the tumor lesion. Exponential models, which have been widely used in …