bibtype C - Conference Paper (international conference)
ARLID 0365940
utime 20240111140802.2
mtime 20111101235959.9
title (primary) (eng) Preprocessing of Screening Mammograms Based on Local Statistical Models
specification
page_count 5 s.
serial
ARLID cav_un_epca*0365989
ISBN 978-1-4503-0913-4
title Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011
page_num 1-5
publisher
place Barcelona
name ACM
year 2011
keyword Image processing software
keyword Medical Sciences
keyword Health
author (primary)
ARLID cav_un_auth*0101091
name1 Grim
name2 Jiří
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type ACM Digital Library
url http://library.utia.cas.cz/separaty/2011/RO/grim-preprocessing of screening mammograms based on local statistical models.pdf
source_size 5423Kb
cas_special
project
project_id 2C06019
agency GA MŠk
country CZ
ARLID cav_un_auth*0216518
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) In a recent paper we have proposed evaluation of screening mammograms by means of local statistical model. The model describes local statistical properties of internal pixels of a small search window - as they occur when scanning the mammogram. It is defined as a mixture of Gaussian densities which can be estimated by EM algorithm from data obtained by shifting the search window. The estimated Gaussian mixture is used to compute at all window positions the log-likelihood values which can be displayed as grey levels at the respective window centers. The resulting log-likelihood image closely correlates with the structural details of the original mammogram and emphasizes potential malignant findings as untypical locations of high novelty. In this paper we discuss the possibilities to enhance the log-likelihood image for diagnostic purposes.
action
ARLID cav_un_auth*0275417
name 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, Barcelona
place Barcelona
dates 25.10.2011-29.10.2011
country ES
reportyear 2012
RIV IN
num_of_auth 1
permalink http://hdl.handle.net/11104/0201066
arlyear 2011
mrcbU56 ACM Digital Library 5423Kb
mrcbU63 cav_un_epca*0365989 Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011 978-1-4503-0913-4 1 5 Barcelona ACM 2011