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