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Proceedings Paper

Concept-based retrieval of biomedical images
Author(s): Sennay Ghebreab; Carl Jaffe; Arnold W. M. Smeulders
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Paper 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.

Paper Details

Date Published: 19 May 2003
PDF: 12 pages
Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); doi: 10.1117/12.487796
Show Author Affiliations
Sennay Ghebreab, Erasmus Univ. Medical Ctr. Rotterdam (Netherlands)
Carl Jaffe, Yale Univ. School of Medicine (United States)
Arnold W. M. Smeulders, Univ. of Amsterdam (Netherlands)

Published in SPIE Proceedings Vol. 5033:
Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation
H. K. Huang; Osman M. Ratib, Editor(s)

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