Histological image retrieval based on semantic content analysis

Authors:
H. L. Tang;R. Hanka;H. H.S. Ip
Affiliations:
Dept. of Comput., Univ. of Surrey, UK;-;-
Venue:
IEEE Transactions on Information Technology in Biomedicine
Year:
2003

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Abstract

The demand for automatic recognition and retrieval of medical images for screening, reference, and management is increasing. We present an intelligent content-based image retrieval system called I-Browse, which integrates both iconic and semantic content for histological image analysis. The I-Browse system combines low-level image processing technology with high-level semantic analysis of medical image content through different processing modules in the proposed system architecture. Similarity measures are proposed and their performance is evaluated. Furthermore, as a byproduct of semantic analysis, I-Browse allows textual annotations to be generated for unknown images. As an image browser, apart from retrieving images by image example, it also supports query by natural language.