Adaptive Model-Based Mammogram Enhancement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00436549" target="_blank" >RIV/67985556:_____/14:00436549 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/14:00222271
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive Model-Based Mammogram Enhancement
Original language description
Five fully automatic methods for X-ray digital mammogram enhancement based on a fast analytical textural model are presented. These efficient single and double view enhancement methods are based on the underlying two-dimensional adaptive causal autoregressive texture model. Themethods locally predict breast tissue texture from single or double view mammograms and enhance breast tissue abnormalities, such as the sign of a developing cancer, using the estimated model prediction statistics. Thedouble-viewmammogram enhancement is based on the cross-prediction of two mutually registered left and right breasts mammograms or alternatively a temporal sequence of mammograms. The single-view mammogram enhancement is based on modeling prediction error in case ofnot the both breasts' mammograms are available.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014
ISBN
978-1-4799-7978-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
65-72
Publisher name
IEEE Computer Society CPS
Place of publication
Los Alamitos, USA
Event location
Marrakech
Event date
Nov 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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