Simulators of tumour growth can estimate the evolution of tumour volume and the quantity of
various categories of cells as functions of time. However, the execution time of each …

Analysis of large pathology image datasets offers significant opportunities for the
investigation of disease morphology, but the resource requirements of analysis pipelines …

Medical centers, such as hospitals, clinics and diagnostic centers, form a special category of
facilities, where the need to perform demanding scientific simulations has to be combined …

The ACGT Oncosimulator is an integrated Grid-based system, under development within a
25-partner European-Japanese project, for patient-specific simulation of the response of a …

We present a novel use of GPUs (graphics processing units) for the analysis of
histopathological images of neuroblastoma, a childhood cancer. Thanks to the advent of …

The aim of this paper is to present a two-dimensional simulation tool based on several
mathematical models, visualizing the growth and development of a solid tumour in avascular …

GPUs have recently evolved into very fast parallel co-processors capable of executing
general purpose computations extremely efficiently. At the same time, multi-core CPUs …

Medical imaging techniques such as X-ray, Ultrasound, CT and MRI scan are widely used
for diagnosis. The 2D medical images from these scans are difficult to interpret because they …

The application of computer simulation as a tool in predicting cancer dynamics (eg during
anticancer therapy) requires tumor models, which are nontrivial and, simultaneously, not …

The ever increasing complexity of scientific applications has led to utilization of new HPC
paradigms such as Graphical Processing Units (GPUs). However, modifying existing …