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Breast Cancer Detection Using Modern Visual IT Techniques

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014683" target="_blank" >RIV/62690094:18450/18:50014683 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-76081-0_34" target="_blank" >http://dx.doi.org/10.1007/978-3-319-76081-0_34</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-76081-0_34" target="_blank" >10.1007/978-3-319-76081-0_34</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Breast Cancer Detection Using Modern Visual IT Techniques

  • Original language description

    Nowadays, cancer is a major cause of women death, especially breast cancer which is most seen on ladies older than 40years. As we know, several techniques have been developed to fight breast cancer, like a mammography, which is the preferred screening examination for breast cancer. However, despite mammography test showing negative result, there are still patients with breast cancer diagnostic, found by other tests like ultrasound test. It can be explained by potential side effect of using mammography, which can push patients and doctors to look for other diagnostic technique. In this literature review, we will explore the digital infrared imaging which is based on the principle that metabolic activity and vascular circulation, in both pre-cancerous tissue and the area surrounding a developing breast cancer, is almost always higher than in normal breast tissue. In the same way, an automated infrared image processing of patient cannot be done without a model like the hemispheric model, which is very well known. As novelty, we will give a comparative study of breast cancer detection using modern visual IT techniques view by the perspective of computer scientist.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Studies in Computational Intelligence

  • ISBN

    978-3-319-76080-3

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    11

  • Pages from-to

    397-407

  • Publisher name

    Springer-Verlag

  • Place of publication

    Berlín

  • Event location

    Dong Hoi City

  • Event date

    Mar 19, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article