Image Enhancement in Retinopathy of Prematurity

C 2022

Image Enhancement in Retinopathy of Prematurity

HASAL, Martin, Jana NOWAKOVÁ, Daniel HERNÁNDEZ-SOSA and Juraj TIMKOVIČ

Basic information

Original name

Image Enhancement in Retinopathy of Prematurity

Authors

HASAL, Martin, Jana NOWAKOVÁ, Daniel HERNÁNDEZ-SOSA and Juraj TIMKOVIČ

Edition

Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems. p. 422-431, 2022

Publisher

Springer

Other information

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

30207 Ophthalmology

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

Organization unit

Faculty of Medicine

ISBN

978-3-031-14626-8

DOI

http://dx.doi.org/10.1007/978-3-031-14627-5_43

Abstract

V originále

Retinopathy of prematurity (ROP) is an ocular disease caused by abnormal retinal blood vessel growth of premature infants. All premature infants who fall within a screening protocol (birth weight less than 1500 g and gestational age below 32 weeks) are diagnosed by an ophthalmological specialist for ROP. Early recognition of ROP and other diseases of premature infants leads to better treatment. The examination is provided by special cameras, which take a snapshot of the posterior segment of the eye (fundus). The taken retinal images are not always perfect. The images can be dark, with low contrast, or difficult to distinguish necessary patterns for diagnosis. This article examines the image enhancement methods of the fundus, such as transformation to green or grayscale channel, adaptive histogram equalisation methods, Gaussian smoothing, and contrast enhancement. These methods improve the image quality in computer-aided diagnosis of the fundus of prematurely born infants.

Citovat

HASAL, Martin, Jana NOWAKOVÁ, Daniel HERNÁNDEZ-SOSA and Juraj TIMKOVIČ. Image Enhancement in Retinopathy of Prematurity. Online. In Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems. Springer, 2022, p. 422-431. ISBN 978-3-031-14626-8. Available from: https://dx.doi.org/10.1007/978-3-031-14627-5_43.

@inbook{2223298,
   author = {Hasal, Martin and Nowaková, Jana and HernándezandSosa, Daniel and Timkovič, Juraj},
   booktitle = {Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems.},
   doi = {http://dx.doi.org/10.1007/978-3-031-14627-5_43},
   howpublished = {elektronická verze "online"},
   language = {eng},
   isbn = {978-3-031-14626-8},
   pages = {422-431},
   publisher = {Springer},
   title = {Image Enhancement in Retinopathy of Prematurity},
   url = {https://link.springer.com/chapter/10.1007/978-3-031-14627-5_43#Abs1},
   year = {2022}
}

TY  - CHAP
ID  - 2223298
AU  - Hasal, Martin - Nowaková, Jana - Hernández-Sosa, Daniel - Timkovič, Juraj
PY  - 2022
TI  - Image Enhancement in Retinopathy of Prematurity
PB  - Springer
SN  - 9783031146268
UR  - https://link.springer.com/chapter/10.1007/978-3-031-14627-5_43#Abs1
N2  - Retinopathy of prematurity (ROP) is an ocular disease caused by abnormal retinal blood vessel growth of premature infants. All premature infants who fall within a screening protocol (birth weight less than 1500 g and gestational age below 32 weeks) are diagnosed by an ophthalmological specialist for ROP. Early recognition of ROP and other diseases of premature infants leads to better treatment. The examination is provided by special cameras, which take a snapshot of the posterior segment of the eye (fundus). The taken retinal images are not always perfect. The images can be dark, with low contrast, or difficult to distinguish necessary patterns for diagnosis. This article examines the image enhancement methods of the fundus, such as transformation to green or grayscale channel, adaptive histogram equalisation methods, Gaussian smoothing, and contrast enhancement. These methods improve the image quality in computer-aided diagnosis of the fundus of prematurely born infants.
ER  -

HASAL, Martin, Jana NOWAKOVÁ, Daniel HERNÁNDEZ-SOSA and Juraj TIMKOVIČ. Image Enhancement in Retinopathy of Prematurity. Online. In \textit{Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems.}. Springer, 2022, p.~422-431. ISBN~978-3-031-14626-8. Available from: https://dx.doi.org/10.1007/978-3-031-14627-5\_{}43.

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