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Retinal Image Dataset of Infants and Retinopathy of Prematurity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10255553" target="_blank" >RIV/61989100:27240/24:10255553 - isvavai.cz</a>

  • Alternative codes found

    RIV/61988987:17110/24:A2503AF4 RIV/00843989:_____/24:E0111048

  • Result on the web

    <a href="https://www.nature.com/articles/s41597-024-03409-7" target="_blank" >https://www.nature.com/articles/s41597-024-03409-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41597-024-03409-7" target="_blank" >10.1038/s41597-024-03409-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Retinal Image Dataset of Infants and Retinopathy of Prematurity

  • Original language description

    Retinopathy of prematurity (ROP) represents a vasoproliferative disease, especially in newborns and infants, which can potentially affect and damage the vision. Despite recent advances in neonatal care and medical guidelines, ROP still remains one of the leading causes of worldwide childhood blindness. The paper presents a unique dataset of 6,004 retinal images of 188 newborns, most of whom are premature infants. The dataset is accompanied by the anonymized patients&apos; information from the ROP screening acquired at the University Hospital Ostrava, Czech Republic. Three digital retinal imaging camera systems are used in the study: Clarity RetCam 3, Natus RetCam Envision, and Phoenix ICON. The study is enriched by the software tool ReLeSeT which is aimed at automatic retinal lesion segmentation and extraction from retinal images. Consequently, this tool enables computing geometric and intensity features of retinal lesions. Also, we publish a set of pre-processing tools for feature boosting of retinal lesions and retinal blood vessels for building classification and segmentation models in ROP analysis.

  • 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

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Scientific data

  • ISSN

    2052-4463

  • e-ISSN

    2052-4463

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    24

  • Pages from-to

    nestránkováno

  • UT code for WoS article

    001274883200003

  • EID of the result in the Scopus database

    2-s2.0-85199319457