Image Enhancement in Retinopathy of Prematurity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10252112" target="_blank" >RIV/61989100:27740/22:10252112 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27240/22:10252112

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-031-14627-5_43" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-14627-5_43</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-14627-5_43" target="_blank" >10.1007/978-3-031-14627-5_43</a>

Result language

angličtina

Original language name

Image Enhancement in Retinopathy of Prematurity

Original language description

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. (C) 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF15_003%2F0000466" target="_blank" >EF15_003/0000466: Artificial Intelligence and Reasoning</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Article name in the collection

Lecture Notes in Networks and Systems. Volume 527

ISBN

978-3-031-14626-8

ISSN

2367-3370

e-ISSN

2367-3389

Number of pages

10

Pages from-to

422-431

Publisher name

Springer

Place of publication

Cham

Event location

Sanda

Event date

Sep 7, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000870692600043