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Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice

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    SYSNO ASEP0080156
    Document TypeA - Abstract
    R&D Document TypeThe record was not marked in the RIV
    R&D Document TypeNení vybrán druh dokumentu
    TitleStatistical Analysis of Medical Images and Its Possible Impact on Medical Practice
    TitleStatistická analýza medicínských obrazů a její možný vliv na lékařskou praxi
    Author(s) Haindl, Michal (UTIA-B) RID, ORCID
    Somol, Petr (UTIA-B) RID
    Source TitleInternational Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare. - Praha : STAPRO, 2007
    s. 1-1
    Number of pages1 s.
    ActionInternational Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare
    Event date07.03.2007-08.03.2007
    VEvent locationPraha
    CountryCZ - Czech Republic
    Event typeEUR
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsimage segmentation ; mammograpgy ; dermatology ; plastic surgery ; virtual reality
    Subject RIVBD - Theory of Information
    R&D Projects2C06019 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationThis paper explains general model-based approaches to two medical image pattern recognition applications. The first application is Bayesian segmentation of breast regions of interest i.e: pectoral muscle, fatty and fibroglandular regions, using Markov Random Fields. This work is a part of a computer aided diagnosis project aiming at evaluating breast cancer risk and its association with texture characteristics of regions of interest on digitized mammograms. Owing to obtained segmentation results, the proposed method could be considered as a satisfying first approach for segmenting regions of interest in a breast. Another dermatology application with the aim to classify skin images of several disorders is briefly discussed. The second part of our contribution will give an overview of the achievements of another project that has been taking place since 2000 in the UK.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2007
Number of the records: 1