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An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F17%3AN0000037" target="_blank" >RIV/26867184:_____/17:N0000037 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction

  • Original language description

    Ischemic stroke is one of major reasons of mortality on a global scale. Early diagnostics of stenosis risk is one of major aims of modern medicine. Ultrasound B-images [1] offer a way how the atherosclerotic plaques could be detected in arteries. However, there are many limitations to reliable diagnostics. The paper is focused on investigation of different features which could be useful to analyze the stenosis risk level.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    13th International Computer Engineering Conference (ICENCO)

  • ISSN

    2475-2320

  • e-ISSN

  • Volume of the periodical

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    EG - EGYPT

  • Number of pages

    5

  • Pages from-to

    73-78

  • UT code for WoS article

    000426982100014

  • EID of the result in the Scopus database