Digital Mammogram Enhancement

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00445250" target="_blank" >RIV/67985556:_____/15:00445250 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5772/60988" target="_blank" >http://dx.doi.org/10.5772/60988</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5772/60988" target="_blank" >10.5772/60988</a>

Result language
angličtina
Original language name
Digital Mammogram Enhancement
Original language description
Three 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 caseof not the both breasts' mammograms being available.
Czech name
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Czech description
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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

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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