Combining Text and Content Based Image Retrieval on Medical Resource Database

DOI

10.2991/icmt-13.2013.215How to use a DOI?

Keywords

Text retrieval. Medical ontology. Content based image retrieval. Semantic space

Abstract

An approach of medical image retrieval by combining diagnosis text and image content features is presented in this paper. In this approach, the system firstly extracts fusion features and semantic content from images and related text in medical resource database. In the second stage, a multi-modal query strategy is generated based on the semantic model and medical ontology, and then the mixed retrieval rendering is interactively shown in intelligent user interface. We evaluate our approach on real medical image data collected from the hospital, and this method achieves encouraging results which are basically satisfying the clinical needs.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Wei
AU  - Li Bo
AU  - Cao Peng
AU  - Zhao Dazhe
AU  - Yang Jinzhu
PY  - 2013/11
DA  - 2013/11
TI  - Combining Text and Content Based Image Retrieval on Medical Resource Database
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1772
EP  - 1784
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.215
DO  - 10.2991/icmt-13.2013.215
ID  - Wei2013/11
ER  -