The fact that lung cancer is a heterogeneous disease suggests that there is a high likelihood
that effective lung cancer biomarkers will need to address patient-specific molecular defects …

Background and purpose In radiation therapy, defining the precise borders of cancerous
tissues and adjacent normal organs has a significant effect on the therapy outcome …

The research reported in this paper applies an explicit non-linear FEA solver to simulate the
interaction between a clamp and a hyper-elastic material that aims to mimic the biological …

Statistical Region Merging technique belongs to the portfolio of very successful image
segmentation methods across diverse domains and applications. The method is based on a …

Nowadays, typical active contour models are widely applied in image segmentation.
However, they perform badly on real images with inhomogeneous subregions. In order to …

The paper introduces a novel model-guided method for liver segmentation in CT and PET-
CT images. Using a model liver volume as a template and a liver shape annotated in one of …

In this paper, an optimization algorithm, utilizing a component measure of entropy, is
developed for automatically tuning segmentation of mammograms by the Statistical Region …

Abstract Minimal Invasive Surgery (MIS) is a procedure that has increased its applications in
past few years in different types of surgeries. As number of application fields are increasing …

Specific absorption rate (SAR) simulation may be used to assess exposure levels, health
risk and compliance with recommendations of wireless devices EMF exposure limits. When …

Computational human models have evolved into important tools in simulating various sets of
cardiovascular circumstances to support the understanding, diagnosis, and treatment of …