Literature DB >> 20703623

MIARS: a medical image retrieval system.

A Mueen1, R Zainuddin, M Sapiyan Baba.   

Abstract

The next generation of medical information system will integrate multimedia data to assist physicians in clinical decision-making, diagnoses, teaching, and research. This paper describes MIARS (Medical Image Annotation and Retrieval System). MIARS not only provides automatic annotation, but also supports text based as well as image based retrieval strategies, which play important roles in medical training, research, and diagnostics. The system utilizes three trained classifiers, which are trained using training images. The goal of these classifiers is to provide multi-level automatic annotation. Another main purpose of the MIARS system is to study image semantic retrieval strategy by which images can be retrieved according to different levels of annotation.

Mesh:

Year:  2009        PMID: 20703623     DOI: 10.1007/s10916-009-9300-y

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  5 in total

1.  Medical Imaging Informatics and Medical Informatics: opportunities and constraints. Findings from the IMIA yearbook of Medical Informatics 2002.

Authors:  C Kulikowski; E Ammenwerth; A Bohne; K Ganser; R Haux; P Knaup; C Maier; A Michel; R Singer; A C Wolff
Journal:  Methods Inf Med       Date:  2002       Impact factor: 2.176

Review 2.  A review of content-based image retrieval systems in medical applications-clinical benefits and future directions.

Authors:  Henning Müller; Nicolas Michoux; David Bandon; Antoine Geissbuhler
Journal:  Int J Med Inform       Date:  2004-02       Impact factor: 4.046

3.  Automatic categorization of medical images for content-based retrieval and data mining.

Authors:  Thomas M Lehmann; Mark O Güld; Thomas Deselaers; Daniel Keysers; Henning Schubert; Klaus Spitzer; Hermann Ney; Berthold B Wein
Journal:  Comput Med Imaging Graph       Date:  2005 Mar-Apr       Impact factor: 4.790

4.  KnowARC: enabling Grid networks for the biomedical research community.

Authors:  Henning Müller; Mikko Pitkanen; Xin Zhou; Adrien Depeursinge; Jimison Iavindrasana; Antoine Geissbuhler
Journal:  Stud Health Technol Inform       Date:  2007

5.  Automatic multilevel medical image annotation and retrieval.

Authors:  A Mueen; R Zainuddin; M Sapiyan Baba
Journal:  J Digit Imaging       Date:  2007-09-11       Impact factor: 4.056

  5 in total
  2 in total

1.  Directional binary wavelet patterns for biomedical image indexing and retrieval.

Authors:  Subrahmanyam Murala; R P Maheshwari; R Balasubramanian
Journal:  J Med Syst       Date:  2011-08-06       Impact factor: 4.460

2.  A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases.

Authors:  Ling Ma; Xiabi Liu; Baowei Fei
Journal:  Med Biol Eng Comput       Date:  2020-03-02       Impact factor: 2.602

  2 in total

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