Artificial intelligence in recognition and classification of astrophysical and medical images

This book presents innovative techniques in Recognition and Classification of Astrophysical and Medical Images. The contents include: Introduction to pattern recognition and classification in astrophysical and medical images. Image standardization and enhancement. Region-based methods for pattern re...

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Détails bibliographiques
Auteur principal: Zharkova, Valentina (Directeur de la publication)
Autres auteurs: Jain, Lakhmi C., 1946- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2007.
Collection:Studies in Computational Intelligence 46
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Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images, Texte imprimé, 9783540475118
• Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images, Texte imprimé, 9783540831921
• Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images, Texte imprimé, 9783642080005
• Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images, Texte imprimé, 9783540475118
Description
Résumé:This book presents innovative techniques in Recognition and Classification of Astrophysical and Medical Images. The contents include: Introduction to pattern recognition and classification in astrophysical and medical images. Image standardization and enhancement. Region-based methods for pattern recognition in medical and astrophysical images. Advanced information processing using statistical methods. Feature recognition and classification using spectral method The book is intended for astrophysicists, medical researches, engineers, research students and technically aware managers in the Universities, Astrophysical Observatories, Medical Research Centres working on the processing of large archives of astrophysical or medical digital images. This book can be used as a text book for students of Computing, Cybernetics, Applied Mathematics and Astrophysics. While there are plenty of volumes tackling pattern recognition problems in finance, marketing, and the like, I commend the editors and the authors for their efforts to tackle the big questions in life, and their excellent contributions to this book. Professor Kate Smith-Miles Head, School of Engineering and Information Technology, Deakin University, Australia
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540475187
ISSN:1860-9503
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017