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ANHIR: Automatic Non-rigid Histological Image Registration Challenge

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341696" target="_blank" >RIV/68407700:21230/20:00341696 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/TMI.2020.2986331" target="_blank" >https://doi.org/10.1109/TMI.2020.2986331</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TMI.2020.2986331" target="_blank" >10.1109/TMI.2020.2986331</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    ANHIR: Automatic Non-rigid Histological Image Registration Challenge

  • Original language description

    Automatic Non-rigid Histological Image Registration (ANHIR) challenge was organized to compare the performance of image registration algorithms on several kinds of microscopy histology images in a fair and independent manner. We have assembled 8 datasets, containing 355 images with 18 different stains, resulting in 481 image pairs to be registered. Registration accuracy was evaluated using manually placed landmarks. In total, 256 teams registered for the challenge, 10 submitted the results, and 6 participated in the workshop. Here, we present the results of 7 well-performing methods from the challenge together with 6 well-known existing methods. The best methods used coarse but robust initial alignment, followed by non-rigid registration, used multiresolution, and were carefully tuned for the data at hand. They outperformed off-the-shelf methods, mostly by being more robust. The best methods could successfully register over 98% of all landmarks and their mean landmark registration accuracy (TRE) was 0.44% of the image diagonal. The challenge remains open to submissions and all images are available for download.

  • 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

    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

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Medical Imaging

  • ISSN

    0278-0062

  • e-ISSN

    1558-254X

  • Volume of the periodical

    39

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    3042-3052

  • UT code for WoS article

    000574745800006

  • EID of the result in the Scopus database

    2-s2.0-85087014178