Original title: Evaluation of Screening Mammograms by Local Structural Mixture Models
Authors: Grim, Jiří ; Lee, G. L.
Document type: Papers
Conference/Event: Stochastic and Physical Monitoring Systems, Zlenice near Prague (CZ), 2012-06-25 / 2012-06-30
Year: 2012
Language: eng
Abstract: We consider the recently proposed evaluation of screening mammograms by local statistical models. The model is defined as a joint probability density of inside grey levels of a suitably chosen search window. We approximate the model density by a mixture of Gaussian densities. Having estimated the mixture parameters we calculate at all window positions the corresponding log-likelihood values which can be displayed as grey levels at the respective window centers. The resulting log-likelihood image closely correlates with the original mammogram and emphasizes the structural details. In this paper we try to enhance the log-likelihood images by using structural mixture model capable of suppressing the influence of noisy variables.
Keywords: Local statistical model; Log-likelihood image; Screening mammography; Structural Gaussian mixture; Texture information
Project no.: GAP403/12/1557 (CEP), GA102/08/0593 (CEP)
Funding provider: GA ČR, GA ČR
Host item entry: Stochastic and Physical Monitoring Systems SPSM 2012, ISBN 978-80-01-05130-6

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2012/RO/grim-evaluation of screening mammograms by local structural mixture modelsr.pdf
Original record: http://hdl.handle.net/11104/0212556

Permalink: http://www.nusl.cz/ntk/nusl-126871


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers