Number of the records: 1  

Preprocessing of Screening Mammograms Based on Local Statistical Models

  1. 1.
    SYSNO ASEP0365940
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitlePreprocessing of Screening Mammograms Based on Local Statistical Models
    Author(s) Grim, Jiří (UTIA-B) RID, ORCID
    Number of authors1
    Source TitleProceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011. - Barcelona : ACM, 2011 - ISBN 978-1-4503-0913-4
    Pagess. 1-5
    Number of pages5 s.
    Action4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, Barcelona
    Event date25.10.2011-29.10.2011
    VEvent locationBarcelona
    CountryES - Spain
    Event typeWRD
    Languageeng - English
    CountryES - Spain
    KeywordsImage processing software ; Medical Sciences ; Health
    Subject RIVIN - Informatics, Computer Science
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationIn a recent paper we have proposed evaluation of screening mammograms by means of local statistical model. The model describes local statistical properties of internal pixels of a small search window - as they occur when scanning the mammogram. It is defined as a mixture of Gaussian densities which can be estimated by EM algorithm from data obtained by shifting the search window. The estimated Gaussian mixture is used to compute at all window positions the log-likelihood values which can be displayed as grey levels at the respective window centers. The resulting log-likelihood image closely correlates with the structural details of the original mammogram and emphasizes potential malignant findings as untypical locations of high novelty. In this paper we discuss the possibilities to enhance the log-likelihood image for diagnostic purposes.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2012
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.