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Content-based retrieval for mammograms
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Wei, Chia-Hung, Li, Chang-Tsun and Li, Yue (2009) Content-based retrieval for mammograms. In: Ma, Zongmin, (ed.) Artificial Intelligence for Maximizing Content Based Image Retrieval. IGI Global, pp. 315-341. ISBN 9781605661742
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Official URL: http://dx.doi.org/10.4018/978-1-60566-174-2.ch014
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-RADSTM) 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.
Item Type: | Book Item | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Publisher: | IGI Global | ||||
ISBN: | 9781605661742 | ||||
Book Title: | Artificial Intelligence for Maximizing Content Based Image Retrieval | ||||
Editor: | Ma, Zongmin | ||||
Official Date: | 2009 | ||||
Dates: |
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Number of Pages: | 27 | ||||
Page Range: | pp. 315-341 | ||||
DOI: | 10.4018/978-1-60566-174-2.ch014 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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