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Classification of breast density in X-ray mammography

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00454449" target="_blank" >RIV/67985556:_____/15:00454449 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IWCIM.2015.7347085" target="_blank" >http://dx.doi.org/10.1109/IWCIM.2015.7347085</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IWCIM.2015.7347085" target="_blank" >10.1109/IWCIM.2015.7347085</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification of breast density in X-ray mammography

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2015 International Workshop on Computational Intelligence for Multimedia Understanding

  • ISBN

    978-1-4673-8457-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    IEEE

  • Place of publication

    New York, NY,

  • Event location

    Praha

  • Event date

    Oct 29, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article