Unconventional computation answer on challenges of medical imaging
Închide
Articolul precedent
Articolul urmator
515 0
SM ISO690:2012
BURTSEVA, Lyudmila. Unconventional computation answer on challenges of medical imaging. In: Nanotechnologies and Biomedical Engineering, Ed. 2, 18-20 aprilie 2013, Chișinău. Technical University of Moldova, 2013, Editia 2, pp. 605-608. ISBN 978-9975-62-343-8..
EXPORT metadate:
Google Scholar
Crossref
CERIF

DataCite
Dublin Core
Nanotechnologies and Biomedical Engineering
Editia 2, 2013
Conferința "International Conference on Nanotechnologies and Biomedical Engineering"
2, Chișinău, Moldova, 18-20 aprilie 2013

Unconventional computation answer on challenges of medical imaging


Pag. 605-608

Burtseva Lyudmila
 
Institute of Mathematics and Computer Science ASM
 
Proiecte:
 
Disponibil în IBN: 24 iunie 2019


Rezumat

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.

Cuvinte-cheie
bio-inspired computation, extremely large medical images databases, medical imaging, quantum computation, unconventional computation