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The Cell Tracking Challenge: 10 years of objective benchmarking

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00130820" target="_blank" >RIV/00216224:14330/23:00130820 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/23:10252535

  • Result on the web

    <a href="https://doi.org/10.1038/s41592-023-01879-y" target="_blank" >https://doi.org/10.1038/s41592-023-01879-y</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41592-023-01879-y" target="_blank" >10.1038/s41592-023-01879-y</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Cell Tracking Challenge: 10 years of objective benchmarking

  • Original language description

    The Cell Tracking Challenge is an ongoing benchmarking initiative that has become a reference in cell segmentation and tracking algorithm development. Here, we present a significant number of improvements introduced in the challenge since our 2017 report. These include the creation of a new segmentation-only benchmark, the enrichment of the dataset repository with new datasets that increase its diversity and complexity, and the creation of a silver standard reference corpus based on the most competitive results, which will be of particular interest for data-hungry deep learning-based strategies. Furthermore, we present the up-to-date cell segmentation and tracking leaderboards, an in-depth analysis of the relationship between the performance of the state-of-the-art methods and the properties of the datasets and annotations, and two novel, insightful studies about the generalizability and the reusability of top-performing methods. These studies provide critical practical conclusions for both developers and users of traditional and machine learning-based cell segmentation and tracking algorithms.

  • 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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Nature Methods

  • ISSN

    1548-7091

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    1010-1020

  • UT code for WoS article

    000999144000001

  • EID of the result in the Scopus database

    2-s2.0-85159660888