Registration and Analysis of Retinal Images for Diagnosis and Treatment Monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F14%3A43897332" target="_blank" >RIV/60461373:22340/14:43897332 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11150/14:10321805

Výsledek na webu

<a href="http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7008817%26userType%3Dinst&denyReason=-133&arnumber=7008817&productsMatched=null&userType=inst" target="_blank" >http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7008817%26userType%3Dinst&denyReason=-133&arnumber=7008817&productsMatched=null&userType=inst</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWCIM.2014.7008817" target="_blank" >10.1109/IWCIM.2014.7008817</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Registration and Analysis of Retinal Images for Diagnosis and Treatment Monitoring

Popis výsledku v původním jazyce

The paper presents in its initial part fundamental mathematical tools for analysis of retinal images using methods of digital signal processing and enhancement and methods for their registration to monitor changes during the treatment. Bloodvessel treesare then extracted to analyse their specific structures to find retina disorders. The proposed graphical user interface is then used for analysis and monitoring of the set of 20 patients observed during the treatment using the optical coherence tomography. Features obtained are then analysed using selected statistical methods to compare features obtained and to propose the method for classification of healthy and diseased patients. The accuracy achieved was 79 %.

Název v anglickém jazyce

Registration and Analysis of Retinal Images for Diagnosis and Treatment Monitoring

Popis výsledku anglicky

The paper presents in its initial part fundamental mathematical tools for analysis of retinal images using methods of digital signal processing and enhancement and methods for their registration to monitor changes during the treatment. Bloodvessel treesare then extracted to analyse their specific structures to find retina disorders. The proposed graphical user interface is then used for analysis and monitoring of the set of 20 patients observed during the treatment using the optical coherence tomography. Features obtained are then analysed using selected statistical methods to compare features obtained and to propose the method for classification of healthy and diseased patients. The accuracy achieved was 79 %.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the International Workshop on Computational Intelligence for Multimedia Understanding

ISBN

978-1-4799-7971-4

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

"T6/1"-"T6/4"

Název nakladatele

IEEE Institute of Electrical and Electronics Engineers

Místo vydání

Piscataway, New Jersey

Místo konání akce

Paris

Datum konání akce

1. 11. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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