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' 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
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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)
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