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Body Navigation via Robust Segmentation of Basic Structures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11140%2F18%3A10365432" target="_blank" >RIV/00216208:11140/18:10365432 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-68195-5_33" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-68195-5_33</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-68195-5_33" target="_blank" >10.1007/978-3-319-68195-5_33</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Body Navigation via Robust Segmentation of Basic Structures

  • Original language description

    Segmentation of internal organs from Computed Tomography images often uses intensity and shape properties. We introduce a navigation system based on robust segmentation of body tissues like spine, body surface and lungs. Pose estimation of an investigated tissue can be performed using this algorithm and it also can be used as a support information for various segmentation algorithms. Precision of liver segmentation based on Bayes classifier is shown in this paper and it is compared with state of the art methods using SLIVER07 dataset.

  • 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

    <a href="/en/project/LO1503" target="_blank" >LO1503: BIOMEDIC</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017

  • ISBN

    978-3-319-68194-8

  • ISSN

    2212-9391

  • e-ISSN

    neuvedeno

  • Number of pages

    9

  • Pages from-to

    306-314

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Porto, Portugalsko

  • Event date

    Oct 18, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000437032100033