0436549 20240103205225.420150119235959.9 84928562793 000380564200011 10.1109/SITIS.2014.53 8 s. P cav_un_epca*0436546978-1-4799-7978-365-72Los Alamitos, USAIEEE Computer Society CPS2014YetongnoKokouDipandaAlbertChbeirRichard mammography image enhancement MRF textural models cav_un_auth*0101093 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Haindl Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0286710 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Remeš Václav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2014/RO/haindl-0436549.pdf cav_un_auth*0303439 GA14-10911S GA ČR CZ 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. 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 are available. cav_un_auth*0310868 Tenth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2014) 23.11.2014-27.11.2014 Marrakech MA BD 2015 2 PR RVO:67985556 http://hdl.handle.net/11104/0242828 S 2014 84928562793 SCOPUS 000380564200011 WOS cav_un_epca*0436546 Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014 978-1-4799-7978-3 65 72 Los Alamitos, USA IEEE Computer Society CPS 2014 Yetongno Kokou 340 Dipanda Albert 340 Chbeir Richard 340