Paper
19 May 2003 Concept-based retrieval of biomedical images
Sennay Ghebreab, Carl Jaffe, Arnold W. M. Smeulders
Author Affiliations +
Abstract
Content-based image retrieval has been proposed as a viable alternative to text-based image retrieval. Mainstream content-based image retrieval methods, however, do not satisfy the complex demands created by biomedical images. The success of content-based biomedical image retrieval hinges on the consideration of domain-specific image characteristics. We strive for image retrieval with a high-level of content understanding, a high degree of query completion and integral user-computer interaction. Departing from the view that user interaction is mandatory for query completion and that query completion is mandatory for content-understanding, we explore the prospects of incrementally and interactively learning concepts during image retrieval for precise formalization of the user's perception of image information. As concepts closely relate to a user's preferences and subjectivity, and in addition can be considered as generalizations of a query instance, they are expected to allow more accurate and reliable image retrieval. In this paper, we discuss a method for concept-based image retrieval by population-based incremental learning of multi-feature image segmentations using query-by-example and relevance feedback. Image retrieval is demonstrated using digitized vertebral X-ray images from the NHANES II database.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sennay Ghebreab, Carl Jaffe, and Arnold W. M. Smeulders "Concept-based retrieval of biomedical images", Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); https://doi.org/10.1117/12.487796
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image retrieval

Image segmentation

Databases

Biomedical optics

Feature extraction

Data modeling

Content based image retrieval

RELATED CONTENT

Distributed adaptive attribute-based image retrieval
Proceedings of SPIE (November 21 1995)
Method for comparing content-based image retrieval methods
Proceedings of SPIE (January 10 2003)
Image browsing for feature-based products
Proceedings of SPIE (August 30 2002)
Refining image retrieval based on context-driven methods
Proceedings of SPIE (December 17 1998)

Back to Top