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Autonomous Segmentation and Modeling of Brain Pathological Findings Based on Iterative Segmentation from MR Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242680" target="_blank" >RIV/61989100:27240/19:10242680 - isvavai.cz</a>

  • Alternative codes found

    RIV/62690094:18450/19:50015950

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-14802-7_28" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14802-7_28</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-14802-7_28" target="_blank" >10.1007/978-3-030-14802-7_28</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Autonomous Segmentation and Modeling of Brain Pathological Findings Based on Iterative Segmentation from MR Images

  • Original language description

    This paper deals with the design of an automated algorithm for segmentation and modeling pathological areas of MR brain imaging data. For segmentation purposes was used namely active contouring method in MATLAB. The proposed algorithm was tested on a dataset of 21 MR frames. This work also deals with the comparison efficiency of preprocessing image to improve segmentation results and subsequently testing and verifying the proposed algorithm for real image data. (C) 2019, Springer Nature Switzerland AG.

  • 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

    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)

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11432

  • ISBN

    978-3-030-14801-0

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    12

  • Pages from-to

    324-335

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Jogdžakarta

  • Event date

    Apr 8, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000493319700027