Notice
This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present system.
DC Field
Value
Language
dc.contributor.author
König, Michael
-
dc.contributor.author
Ismail, Omar
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dc.date.accessioned
2022-08-02T07:31:42Z
-
dc.date.available
2022-08-02T07:31:42Z
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dc.date.issued
2019-02-12
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dc.identifier.citation
<div class="csl-bib-body">
<div class="csl-entry">König, M., & Ismail, O. (2019). <i>Quality Assessment of Color Fundusand Fluorescein Angiography Images</i> (PRIP-TR-145). http://hdl.handle.net/20.500.12708/39795</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/39795
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dc.description.abstract
Color Fundus and Fluorescein Angiography are medical procedures used for eye diagnosis. In Fluorescein Angiography a series of photographs is taken to analyze the blood flow in the back of the eyes. Color Fundus records color images of the interior surface of the eye to monitor and document disorders. As with every photograph, certain image distortions occur, making analysis difficult. The aim of this theses is to find a way to measure these distortions and ideally, flagbad photographs so that the analysis process can be accelerated.
en
dc.language.iso
en
-
dc.subject
Fluarescein Angiography
en
dc.subject
Color Fundus
en
dc.subject
Eye Diagnosis
en
dc.subject
image distortions
en
dc.title
Quality Assessment of Color Fundusand Fluorescein Angiography Images
en
dc.type
Bericht
de
dc.type
Report
en
dc.type.category
Technical Report
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tuw.peerreviewed
false
-
tuw.publication.orgunit
E193-03 - Forschungsbereich Pattern Recognition and Image Processing
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dc.description.numberOfPages
33
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dc.identifier.reportid
PRIP-TR-145
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wb.sciencebranch
Informatik
-
wb.sciencebranch.oefos
1020
-
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
-
item.openairetype
technical report
-
item.languageiso639-1
en
-
item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
-
item.grantfulltext
none
-
item.openairecristype
http://purl.org/coar/resource_type/c_18gh
-
crisitem.author.dept
E193 - Institut für Visual Computing and Human-Centered Technology
