Počet záznamů: 1
Mammography Techniques and Review
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SYSNO ASEP 0445250 Druh ASEP M - Kapitola v monografii Zařazení RIV C - Kapitola v knize Název Digital Mammogram Enhancement Tvůrce(i) Haindl, Michal (UTIA-B) RID, ORCID
Remeš, Václav (UTIA-B) RIDCelkový počet autorů 2 Zdroj.dok. Mammography Techniques and Review. - Zagreb : InTech Education and Publishing, 2015 / Fernandes Fabiano Cavalcanti ; Brasil Lourdes Mattos ; da Veiga Guadagnin Renato - ISBN 978-953-51-2138-1 Rozsah stran s. 63-78 Poč.str. 16 s. Poč.str.knihy 120 Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. HR - Chorvatsko Klíč. slova mammogram enhancement ; Markov random field ; texture model Vědní obor RIV BD - Teorie informace CEP GA14-10911S GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 DOI 10.5772/60988 Anotace 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. The~methods 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. The~double-view mammogram 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 of not the both breasts' mammograms being available. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2016
Počet záznamů: 1