title: Mammographic image analysis.
abstract: We describe our recent progress aimed at computer analysis of mammograms. The overall aim is to provide the clinician with reliable quantitative information. We summarise a representation we have developed of the 'interesting' (non-adipose) tissue in a breast, then put the representation to work in three ways: (i) to propose a new quantitative measure to aid in diagnosing masses; (ii) to explore the possibility of reducing by half the radiation dose required for a mammogram; and (iii) recalling some of the results that can be provided by differential compression mammography, in which mammograms are taken at two slightly different compressions.
authors.affiliation: Department of Radiology, Oxford University, UK. rph@robots.ox.ac.uk
authors.forename: R P
authors.initials: RP
authors.lastname: Highnam
authors.forename: J M
authors.initials: JM
authors.lastname: Brady
authors.forename: B J
authors.initials: BJ
authors.lastname: Shepstone
mesh_terms: D017408:Guidelines as Topic; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008327:Mammography / Q000379:methods*