Publication details

Classification of breast density in X-ray mammography

Conference Paper (international conference)

Remeš Václav, Haindl Michal


serial: 2015 International Workshop on Computational Intelligence for Multimedia Understanding, p. 1-5

action: IWCIM 2015 International Workshop on Computational Intelligence for Multimedia Understanding, (Praha, CZ, 29.10.2015-30.10.2015)

project(s): GA14-10911S, GA ČR

keywords: Breast cancer, breast density, Mammography, MRF, ACR, BI-RADS

preview: Download

abstract (eng):

Breast density is an important cue to detect both the presence of suspicious cancerous masses and to predict future possibility for cancer development. A fast breast density classification method is presented and successfully tested on two state-of-the-art mammogram databases. The X-ray digital mammogram tissue texture is locally represented by the two-dimensional adaptive causal autoregressive spatial model and its parameters are used as the classification features.

RIV: BD