An enhanced method for automatic detection and segmentation of carotid artery in ultrasound images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098540" target="_blank" >RIV/61989100:27240/16:86098540 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?doid=2983468.2983483" target="_blank" >http://dl.acm.org/citation.cfm?doid=2983468.2983483</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2983468.2983483" target="_blank" >10.1145/2983468.2983483</a>

Result language
angličtina
Original language name
An enhanced method for automatic detection and segmentation of carotid artery in ultrasound images
Original language description
This paper deals with processing of ultrasonic images of carotid arteries. These images often suffer from low quality, intensity inhomogeneity and artefacts. Due to this, edges of segmented objects may be corrupted. Conventional methods for image processing are therefore insufficient. The newly developed method suited for automatic circular object deteaction and segmentation is capable to keep the original arterial borders, while precisely segmenting the eventual pathology. Hough transform was used for artery detection. Active contour based on level set methods was adjusted according to our needs and applied for the object segmentation.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
17th International Conference on Computer Systems and Technologies : CompSysTech 2016, 23-24 June, Palermo, Italy
ISBN
978-1-4503-4182-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
206-213
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Palermo
Event date
Jun 23, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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