Macular lesions extraction using active appearance method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099587" target="_blank" >RIV/61989100:27240/16:86099587 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-29236-6_42" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29236-6_42</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-29236-6_42" target="_blank" >10.1007/978-3-319-29236-6_42</a>
Alternative languages
Result language
angličtina
Original language name
Macular lesions extraction using active appearance method
Original language description
Age-related macular degeneration (ARMD) is one of the most widespread diseases of the eye fundus and is the most common cause of vision loss for those over the age of 60. There are several ways to diagnose ARMD. One of them is the Fundus Autofluorescence (FAF) method, and is one of the modalities of Heidelberg Engineering diagnostic devices. The BluePeakTM modality utilizes the fluorescence of lipofuscin (a pigment in the affected cells) to display the extent of the disease's progression. In clinical practice is often quite complicated to perform assessment of precise parameters macular lesions. The main aim of the article is design of the method which is able to locate and consequently perform extraction of these lesions. The algorithm body is composed of several essential parts: image preprocessing, filtration of interested area and segmentation procedure. In the first step, extraction area of interest is performed. Filtration process should suppress adjacent structures. Final step is segmentation procedure. The main advantage is that the whole process is fully automatic. The result of segmentation is closed curve which is formed iteratively to edges of analyzed object. The resulting curve reflects geometrical parameters of analyzed structure. On the base this fact is quite easy to calculate perimeter and area of analyzed area.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TG01010137" target="_blank" >TG01010137: PRE SEED Fund of VSB-Technical univerzity of Ostrava</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Volume 165
ISBN
978-3-319-29235-9
ISSN
1867-8211
e-ISSN
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Number of pages
10
Pages from-to
438-447
Publisher name
Springer Verlag
Place of publication
London
Event location
Vung Tau
Event date
Nov 26, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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