Automatic Multilevel Medical Image Annotation and Retrieval


Mueen, A. and Zainuddin, R. and Baba, M. Sapiyan (2008) Automatic Multilevel Medical Image Annotation and Retrieval. Journal of Digital Imaging, 21 (3). pp. 290-295. ISSN 0897-1889

[img] PDF (Automatic multilevel medical image annotation and retrieval)
730.pdf - Published Version

Download (0B)


Image retrieval at the semantic level mostly depends on image annotation or image classification. Image annotation performance largely depends on three issues: (1) automatic image feature extraction; (2) a semantic image concept modeling; (3) algorithm for semantic image annotation. To address first issue, multilevel features are extracted to construct the feature vector, which represents the contents of the image. To address second issue, domain-dependent concept hierarchy is constructed for interpretation of image semantic concepts. To address third issue, automatic multilevel code generation is proposed for image classification and multilevel image annotation. We make use of the existing image annotation to address second and third issues. Our experiments on a specific domain of X-ray images have given encouraging results.

Item Type: Article
Subjects: T Technology > T Technology (General)
R Medicine > R Medicine (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 09 Sep 2011 03:55
Last Modified: 09 Sep 2011 03:55


Downloads per month over past year

View ItemEdit (login required)