Combining Text and Content Based Image Retrieval on Medical Resource Database
Li Wei, Li Bo, Cao Peng, Zhao Dazhe, Yang Jinzhu
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.215How to use a DOI?
- Text retrieval. Medical ontology. Content based image retrieval. Semantic space
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.215 DO - https://doi.org/10.2991/icmt-13.2013.215 ID - Wei2013/11 ER -