Content-based retrieval for mammograms

Chia Hung Wei, Chang Tsun Li, Yue Li

Research output: Book chapter/Published conference paperChapter

3 Citations (Scopus)

Abstract

As distributed mammogram databases at hospitals and breast screening centers are connected together through PACS, a mammogram retrieval system is needed to help medical professionals locate the mammograms they want to aid in medical diagnosis. This chapter presents a complete content-based mammogram retrieval system, seeking images that are pathologically similar to a given example. In the mammogram retrieval system, the pathological characteristics that have been defined in Breast Imaging Reporting and Data System (BI-RADS TM) are used as criteria to measure the similarity of the mammograms. A detailed description of those mammographic features is provided in this chapter. Since the user's subjective perception should be taken into account in the image retrieval task, a relevance feedback function is also developed to learn individual users' knowledge to improve the system performance.

Original languageEnglish
Title of host publicationArtificial Intelligence for Maximizing Content Based Image Retrieval
PublisherIGI Global
Pages315-341
Number of pages27
ISBN (Print)9781605661742
DOIs
Publication statusPublished - 2009

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