Evaluation of Screening Mammograms by Local Structural Mixture Models
Result description
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 mixtureof 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 closelycorrelates 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
Screening mammographyTexture informationLocal statistical modelLog-likelihood imageStructural Gaussian mixture
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evaluation of Screening Mammograms by Local Structural Mixture Models
Original language description
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 mixtureof 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 closelycorrelates 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Stochastic and Physical Monitoring Systems SPSM 2012
ISBN
978-80-01-05130-6
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
51-61
Publisher name
Czech Technical University in Prague
Place of publication
Praha
Event location
Zlenice near Prague
Event date
Jun 25, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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Result type
D - Article in proceedings
CEP
IN - Informatics
Year of implementation
2012