Breast density: Computerized analysis on digitized mammograms

Papaevangelou, A; Chatzistergos, S; Nikita, K; Zografos, G

dc.contributor.author	Papaevangelou, A	en
dc.contributor.author	Chatzistergos, S	en
dc.contributor.author	Nikita, K	en
dc.contributor.author	Zografos, G	en
dc.date.accessioned	2014-03-01T02:01:05Z
dc.date.available	2014-03-01T02:01:05Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29148
dc.subject	inter-rater reliability	en
dc.subject	Texture Analysis	en
dc.subject	Breast Cancer	en
dc.title	Breast density: Computerized analysis on digitized mammograms	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s13126-011-0027-0	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s13126-011-0027-0	en
heal.publicationDate	2011	en
heal.abstract	Aim-Background Mammographically dense breast tissue is related to a higher risk of breast cancer. We aim to evaluate a computerized system, assess whether it can provide an accurate and objective estimation of the breast density and if it can accurately classify the mammograms according to the ACR/BIRADS system. Methods We retrospectively reviewed the mediolateral oblique (MLO) and cranial-caudal (CC) views of 83	en
dc.identifier.doi	10.1007/s13126-011-0027-0	en