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Content-based retrieval for mammograms

Version 2 2024-06-05, 03:29
Version 1 2019-07-10, 15:22
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posted on 2024-06-05, 03:29 authored by CH Wei, Chang-Tsun LiChang-Tsun Li, Y Li
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.

History

Chapter number

14

Pagination

315-341

ISBN-13

9781605661742

Language

eng

Publication classification

BN.1 Other book chapter, or book chapter not attributed to Deakin

Extent

16

Publisher

IGI Global

Place of publication

Hershey, Pa.

Title of book

Artificial Intelligence for Maximizing Content Based Image Retrieval

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