Unconventional Computation Answer on Challenges of Medical Imaging

Abstract

During the last decade both the medical images collection hardware and processing software have gotten the advanced development. As the result, medical imaging meets the challenge of treating extremely large medical images databases as well as complex algorithms. Such challenges are the natural tasks for massive parallel processing that can be provided by unconventional computations. This work reviews several solutions proposed by bio-inspired and quantum branches of unconventional computation for tasks of image processing and retrieval. These solutions are selected as perspective ones for application to medical imaging that has specific challenges. The image retrieval solution, that applies P systems (bioinspired) computational model, is proposed. The perspectives of application of new computational models, which are under development now, for image processing and retrieval problems are revealed.