Leveraging coupled multi-index for scalable retrieval of mammographic masses

Menglin Jiang, Shaoting Zhang, Ruogu Fang, Dimitris N. Metaxas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Content-based image retrieval techniques have shown great value in computer-aided diagnosis of mammographic masses. Many existing approaches adopt several features to better characterize mammographic regions. However, most of them fuse features through feature concatenation or result-level combination, which cannot fully exert the discriminative power of different features and also sacrifices the overall computational efficiency. To address these drawbacks, we propose to utilize coupled multi-index for index-level feature fusion. Specifically, complementary local features are extracted from the same locations of mammographic regions. Then, they are separately quantized using the 'bag of words' (BoW) approach. Finally, quantized features are inserted into a two-dimensional inverted index, with each feature corresponding to one dimension. Experiments are carried out on a large dataset constructed from the digital database for screening mammography (DDSM). Results demonstrate that our approach not only achieves better retrieval precision and diagnostic accuracy than individual features do, but also improves the overall efficiency and scalability.

Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Pages276-280
Number of pages5
ISBN (Electronic)9781479923748
DOIs
StatePublished - Jul 21 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: Apr 16 2015Apr 19 2015

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2015-July
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
CountryUnited States
CityBrooklyn
Period4/16/154/19/15

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Keywords

  • Mammography
  • breast masses
  • coupled multi-index
  • feature fusion
  • image retrieval

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