Mammographic mass identification in dense breasts using multi-scale analysis of structured micro-patterns

Shelda Sajeev, Mariusz Bajger, Gobert Lee, Chisako Muramatsu, Hiroshi Fujita

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

Abstract

The paper proposes a novel approach for the identification of cancerous regions located in a dense part of a breast. This task is particularly challenging even for experienced radiologists due to lack of clear boundaries between the cancerous and normal tissue. Multi-scale analysis of structured micro-patterns generated from local binary patterns (LBP) was used to generate a very small number of features which allowed for successful detection of cancerous regions. The proposed technique was tested on two publicly available datasets: Digital Database for Screening Mammography (DDSM) and INbreast. The area under the receiver operating characteristic (AUC) curve for DDSM with 2 features only was 0.99 and 0.92 for INbreast with 3 features.

Original languageEnglish
Title of host publication15th International Workshop on Breast Imaging, IWBI 2020
EditorsHilde Bosmans, Nicholas Marshall, Chantal Van Ongeval
PublisherSPIE
ISBN (Electronic)9781510638310
DOIs
Publication statusPublished - 1 Jan 2020
Event15th International Workshop on Breast Imaging, IWBI 2020 - Leuven, Belgium
Duration: 25 May 202027 May 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11513
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference15th International Workshop on Breast Imaging, IWBI 2020
CountryBelgium
CityLeuven
Period25/05/2027/05/20

Keywords

  • Breast cancer
  • CAD
  • Dense ROI
  • Local binary pattern
  • Machine learning
  • Mammography
  • Structured micro-patterns

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  • Cite this

    Sajeev, S., Bajger, M., Lee, G., Muramatsu, C., & Fujita, H. (2020). Mammographic mass identification in dense breasts using multi-scale analysis of structured micro-patterns. In H. Bosmans, N. Marshall, & C. Van Ongeval (Eds.), 15th International Workshop on Breast Imaging, IWBI 2020 [1151323] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11513). SPIE. https://doi.org/10.1117/12.2564272