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Registration of multiple stained histological sections

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00211380" target="_blank" >RIV/68407700:21230/13:00211380 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Registration of multiple stained histological sections

  • Original language description

    The analysis of protein-level multigene expression signature maps computed from the fusion of differently stained immunohistochemistry images is an emerging tool in cancer management. Creating these maps requires registering sets of histological images,a challenging task due to their large size, the non-linear distortions existing between consecutive sections and to the fact that the images correspond to different histological stains and thus, may have very different appearance. In this manuscript, wepresent a novel segmentation-based registration algorithm that exploits a multi-class pyramid and optimizes a fuzzy class assignment specially designed for this task. Compared to a standard non-rigid registration, the proposed method achieves an improvedmatching on both synthetic as well as real histological images of cancer lesions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F11%2F0111" target="_blank" >GAP202/11/0111: Automatic analysis of light and electron microscopy neuronal data</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2013 (ISBI2013)

  • ISBN

    978-1-4673-6456-0

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1034-1037

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    San Francisco

  • Event date

    Apr 7, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000326900100259