MIARS: A Medical Image Retrieval System

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 sup...

Full description

Bibliographic Details
Main Authors: Mueen, A., Zainuddin, R., Baba, M.S.
Format: Article
Published: Springer Verlag 2010
Subjects:
_version_ 1796945323431559168
author Mueen, A.
Zainuddin, R.
Baba, M.S.
author_facet Mueen, A.
Zainuddin, R.
Baba, M.S.
author_sort Mueen, A.
collection UM
description 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.
first_indexed 2024-03-06T05:14:56Z
format Article
id um.eprints-5675
institution Universiti Malaya
last_indexed 2024-03-06T05:14:56Z
publishDate 2010
publisher Springer Verlag
record_format dspace
spelling um.eprints-56752019-08-26T06:38:59Z http://eprints.um.edu.my/5675/ MIARS: A Medical Image Retrieval System Mueen, A. Zainuddin, R. Baba, M.S. T Technology (General) 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. Springer Verlag 2010 Article PeerReviewed Mueen, A. and Zainuddin, R. and Baba, M.S. (2010) MIARS: A Medical Image Retrieval System. Journal of Medical Systems, 34 (5). pp. 859-864. ISSN 0148-5598, DOI https://doi.org/10.1007/s10916-009-9300-y <https://doi.org/10.1007/s10916-009-9300-y>. http://www.ncbi.nlm.nih.gov/pubmed/20703623 10.1007/s10916-009-9300-y
spellingShingle T Technology (General)
Mueen, A.
Zainuddin, R.
Baba, M.S.
MIARS: A Medical Image Retrieval System
title MIARS: A Medical Image Retrieval System
title_full MIARS: A Medical Image Retrieval System
title_fullStr MIARS: A Medical Image Retrieval System
title_full_unstemmed MIARS: A Medical Image Retrieval System
title_short MIARS: A Medical Image Retrieval System
title_sort miars a medical image retrieval system
topic T Technology (General)
work_keys_str_mv AT mueena miarsamedicalimageretrievalsystem
AT zainuddinr miarsamedicalimageretrievalsystem
AT babams miarsamedicalimageretrievalsystem