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

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

Abstrakti

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.

AlkuperäiskieliEnglanti
Otsikko2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
KustantajaIEEE
Sivut1132-1135
Sivumäärä4
ISBN (elektroninen)978-1-7281-1990-8
ISBN (painettu)978-1-7281-1991-5
DOI - pysyväislinkit
TilaJulkaistu - heinäk. 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaAnnual International Conference of the IEEE Engineering in Medicine and Biology Society - Montreal, Kanada
Kesto: 20 heinäk. 202024 heinäk. 2020

Julkaisusarja

NimiProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC
KustantajaIEEE
ISSN (painettu)2375-7477
ISSN (elektroninen)2694-0604

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Maa/AlueKanada
KaupunkiMontreal
Ajanjakso20/07/2024/07/20

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

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

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