Advertisement

Creating New Medical Ontologies for Image Annotation

A Case Study

  • Liana Stanescu
  • Dumitru Dan Burdescu
  • Marius Brezovan
  • Cristian Gabriel Mihai

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Speech Technology book sub series

Table of contents

  1. Front Matter
    Pages i-viii
  2. Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai
    Pages 1-3
  3. Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai
    Pages 5-14
  4. Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai
    Pages 15-43
  5. Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai
    Pages 45-64
  6. Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai
    Pages 65-89
  7. Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai
    Pages 91-102
  8. Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai
    Pages 103-111

About this book

Introduction

Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms.

In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords.

Keywords

Automated ontologies Color images segmentation Cross media relevance models Image annotation MESH Ontologies for medical images Segmentation algorithm

Authors and affiliations

  • Liana Stanescu
    • 1
  • Dumitru Dan Burdescu
    • 2
  • Marius Brezovan
    • 3
  • Cristian Gabriel Mihai
    • 4
  1. 1., Software Engineering Dept.University of CraiovaCraiovaRomania
  2. 2., Software Engineering Dept.University of CraiovaCraiovaRomania
  3. 3., Software Engineering Dept.University of CraiovaCraiovaRomania
  4. 4., Department of Software EngineeringUniversity of CraiovaCraiovaRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1909-9
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-1908-2
  • Online ISBN 978-1-4614-1909-9
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Aerospace
Oil, Gas & Geosciences
Engineering