Last edited by Mikazil
Monday, May 11, 2020 | History

7 edition of Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images (Studies in Computational Intelligence) found in the catalog.

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images (Studies in Computational Intelligence)

  • 118 Want to read
  • 4 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Pattern recognition,
  • Computers,
  • Mathematics,
  • Computer Books: General,
  • Applied,
  • Feature Recognition,
  • Feature Recognition in Solar Images,
  • Image Enhancement,
  • Mathematics / Applied,
  • Solar Feature Detection,
  • Artificial Intelligence - General

  • Edition Notes

    ContributionsValentina Zharkova (Editor), Lakhmi C. Jain (Editor)
    The Physical Object
    FormatHardcover
    Number of Pages374
    ID Numbers
    Open LibraryOL12775465M
    ISBN 103540475117
    ISBN 109783540475118

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Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images (Studies in Computational Intelligence) Download PDF EPUB FB2

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 presents innovative techniques in recognition and classification of astrophysical and medical images. Coverage includes: image standardization and enhancement; region-based. Introduction to Pattern Recognition and Classification in Medical and Astrophysical Images r.

1 V. Zharkova and L. Jain Introduction to Pattern Recognition in Medical Images. 1 Introduction to Pattern Recognition in Astrophysical and Solar Images 5 Astrophysical. • Feature recognition and classification using spectral method The book is intended for astrophysicists, medical researches, engineers, research students and technically aware.

ARTIFICIAL INTELLIGENCE AND THE SCIENCE OF IMAGE UNDERSTANDING B. HORN Massachusetts Institute of Technology, Cambridge, Massachusetts ABSTRACT that any attempt at recognition, matching or classification. This chapter discusses artificial intelligence (AI). AI is the part of computer science concerned with designing intelligent computer systems, that is, systems that exhibit the characteristics one associate with intelligence.

This book will cover the basics needed to implement and understand your own Artificial Intelligence and Machine Learning library. All formulas and concepts will be presented with code in both Matlab and Python. Artificial Intelligence. pecially in medical image analysis and it is expected that it will hold $ million medical imaging market by Thus, byit alone will get more more investment for medical imaging than the entire Author: Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib.

Artificial Intelligence (AI) is a general term that implies the use of a computer to model intelligent behaviour with minimal human intervention. Building classifiers using Bayesian networks. In Proc. 13th National Conference on Artificial Intelligence, pp. Portland, OR.

Friedman, N. and Goldszmidt, M. (b). Learning Bayesian networks with local structure. In Proc. Twelfth Conf. on Uncertainty in Artificial Intelligence.

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UNESCO – EOLSS SAMPLE CHAPTERS ARTIFICIAL INTELLIGENCE – Artificial Intelligence: Definition, Trends, Techniques and Cases - Joost N. Kok, Egbert J. Boers, Walter A. Kosters. While computational mechanics has benefited from, and closely interacted with, the latter branches of computer science, the interaction between computational mechanics and AI is still in its infancy.

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