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Metaheuristics for medicine and biology
This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and el...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-54428-0 http://cds.cern.ch/record/2258663 |
_version_ | 1780953885469310976 |
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author | Nakib, Amir Talbi, El-Ghazali |
author_facet | Nakib, Amir Talbi, El-Ghazali |
author_sort | Nakib, Amir |
collection | CERN |
description | This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems. |
id | cern-2258663 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Springer |
record_format | invenio |
spelling | cern-22586632021-04-21T19:17:03Zdoi:10.1007/978-3-662-54428-0http://cds.cern.ch/record/2258663engNakib, AmirTalbi, El-GhazaliMetaheuristics for medicine and biologyEngineeringThis book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.Springeroai:cds.cern.ch:22586632017 |
spellingShingle | Engineering Nakib, Amir Talbi, El-Ghazali Metaheuristics for medicine and biology |
title | Metaheuristics for medicine and biology |
title_full | Metaheuristics for medicine and biology |
title_fullStr | Metaheuristics for medicine and biology |
title_full_unstemmed | Metaheuristics for medicine and biology |
title_short | Metaheuristics for medicine and biology |
title_sort | metaheuristics for medicine and biology |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-662-54428-0 http://cds.cern.ch/record/2258663 |
work_keys_str_mv | AT nakibamir metaheuristicsformedicineandbiology AT talbielghazali metaheuristicsformedicineandbiology |