A Quantitative Study of Local Ternary Patterns for Risk Assessment in Mammography

Andrik Rampun, PJ Morrow, BW Scotney, RJ Winder

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

4 Citations (Scopus)

Abstract

This paper presents a preliminary quantitative study for breast cancer risk assessment in mammography using mathematical operators called Local Ternary Patterns. The study covers three different mapping patterns namely uniform (‘u2’), nonuniform (‘ri’) and a combination of uniform and nonuniform (‘riu2’). These patterns are used as texture features to model the appearance of breast density within the fibroglandular disk area. Subsequently, the Support Vector Machine is employed as a classification approach and initial results suggest that the mapping pattern ‘riu2’ outperforms the others.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherSpringer
Pages283-286
Number of pages4
Volume71
ISBN (Print)978-3-319-59396-8
DOIs
Publication statusE-pub ahead of print - 21 May 2017
EventInternational Conference on Innovation in Medicine and Healthcare 2017 - Vilamoura, Portugal
Duration: 21 May 2017 → …

Conference

ConferenceInternational Conference on Innovation in Medicine and Healthcare 2017
Period21/05/17 → …

Keywords

  • Computer Aided Diagnosis
  • Local Ternary Patterns
  • Breast Cancer and Mammography

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  • Cite this

    Rampun, A., Morrow, PJ., Scotney, BW., & Winder, RJ. (2017). A Quantitative Study of Local Ternary Patterns for Risk Assessment in Mammography. In Unknown Host Publication (Vol. 71, pp. 283-286). Springer. https://doi.org/10.1007/978-3-319-59397-5_31