A New Benchmark and Method for the Evaluation of Chest Wall Detection in Digital Mammography

Gerson Africano, Otso Arponen, Antti Sassi, Irina Rinta-Kiikka, Anna-Leena Laaperi, Said Pertuz

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

CAD systems have shown good potential for improving breast cancer diagnosis and anomaly detection in mammograms. A basic enabling step for the utilization of CAD systems in mammographic analysis is the correct identification of the breast region. Therefore, several methods to segment the pectoral muscle in the medio-lateral oblique (MLO) mammographic view have been proposed in the literature. However, currently it is difficult to perform and objective comparison between different chest wall (CW) detection methods since they are often evaluated with different evaluation procedures, datasets and the implementations of the methods are not publicly available. For this reason, we propose a methodology to evaluate and compare the performance of CW detection methods using a publicly available dataset (INbreast). We also propose a new intensity-based method for automatic CW detection. We then utilize the proposed evaluation methodology to compare the performance of our CW detection algorithm with a state-of-the-art CW detection method. The performance was measured in terms of the Dice's coefficient similarity, the area error and mean contour distance. The proposed method achieves yielded the best results in all the performance measures.

Original languageEnglish
Title of host publication2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
PublisherIEEE
Pages1132-1135
Number of pages4
ISBN (Electronic)978-1-7281-1990-8
ISBN (Print)978-1-7281-1991-5
DOIs
Publication statusPublished - Jul 2020
Publication typeA4 Article in conference proceedings
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society - Montreal, Canada
Duration: 20 Jul 202024 Jul 2020

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC
PublisherIEEE
ISSN (Print)2375-7477
ISSN (Electronic)2694-0604

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryCanada
CityMontreal
Period20/07/2024/07/20

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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