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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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