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Bibliography

Conference Paper (international conference)

Classification of breast density in X-ray mammography

Remeš Václav, Haindl Michal

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

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

: GA14-10911S, GA ČR

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

: 10.1109/IWCIM.2015.7347085

: http://library.utia.cas.cz/separaty/2016/RO/haindl-0454449.pdf

(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.

: BD