Breast density classification using local septenary patterns: A multi-resolution and multi-topology approach

Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang

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

6 Citations (Scopus)

Abstract

We present an extension of our previous work in [1] by investigating the use of Local Septenary Patterns (LSP) for breast density classification in mammograms. The LSP operator is a variant of Local Binary Patterns (LBP) inspired by Local Ternary Patterns (LTP) and Local Quinary patterns (LQP). The main extensions in our work are i) we investigate the use of a multi-resolution technique when extracting micro texture information, ii) we investigate different neighbourhood topologies as different ways of extracting texture features, and iii) we use an additional dataset called InBreast as well as the most popular dataset in the literature, which is the Mammographic Image Analysis Society (MIAS) to further evaluate the performance of the LSP operator.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages646-651
Number of pages6
ISBN (Electronic)9781728122861
ISBN (Print)9781728122878
DOIs
Publication statusPublished - 05 Aug 2019
Externally publishedYes
Event32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019 - Cordoba, Spain
Duration: 05 Jun 201907 Jun 2019

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2019-June
ISSN (Print)1063-7125

Conference

Conference32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019
Country/TerritorySpain
CityCordoba
Period05/06/201907/06/2019

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was undertaken as part of the Decision Support and Information Management System for Breast Cancer (DESIREE) project. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690238.

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Breast density classification
  • Computer aided diagnosis
  • Local binary patterns
  • Local Septernary patterns
  • Local ternary Patterns
  • Mammography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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