Cervical cancer detection using colposcopic images: a temporal approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F05%3A00411458" target="_blank" >RIV/67985556:_____/05:00411458 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Cervical cancer detection using colposcopic images: a temporal approach
Original language description
Methodology for analysis of the colposcopic images is presented to help experts to create robust diagnosis of cervical cancer. The image registration was applied using phase correlation followed by a locally applied algorithm based on the normalized cross correlation. Time analysis of the obtained features is realized in the Hough space. Supervised Bayesian learning is used for classification and resulting labels are used for tissue categorization.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Mexican International Conference on Computer Science ENC'05
ISBN
0-7695-2454-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Puebla
Event date
Sep 26, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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