Content-Based Retrieval for Mammograms

Author:

Wei Chia-Hung1,Li Chang-Tsun2,Li Yue2

Affiliation:

1. Ching Yun University, Taiwan

2. University of Warwick, UK

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.

Publisher

IGI Global

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2. Mammogram retrieval through machine learning within BI-RADS standards;Journal of Biomedical Informatics;2011-08

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