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Experiments with Automatic Segmentation of Liver Parenchyma

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929890" target="_blank" >RIV/49777513:23520/16:43929890 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1134/S1054661816030081" target="_blank" >http://dx.doi.org/10.1134/S1054661816030081</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1134/S1054661816030081" target="_blank" >10.1134/S1054661816030081</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experiments with Automatic Segmentation of Liver Parenchyma

  • Original language description

    This paper provides summary of our experiments with automatic segmentation of liver parenchym. It presents methods and classifiers that we used on computer tomography medicine data. In introduction there are a description of our motivation to do this research. Second part contains information about our approach, list of methods and classifiers. In part called results, we presents figure with subset of our experiments and described evaluation. Summary at the end of this paper presents future research of this topic.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Pattern Recognition and Image Analysis

  • ISSN

    1054-6618

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    RU - RUSSIAN FEDERATION

  • Number of pages

    4

  • Pages from-to

    572-575

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84984917436