Automatic Colposcopy Video Tissue Classification Using Higher Order Entropy Based Registration

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187129" target="_blank" >RIV/68407700:21230/11:00187129 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.compbiomed.2011.07.010" target="_blank" >http://dx.doi.org/10.1016/j.compbiomed.2011.07.010</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.compbiomed.2011.07.010" target="_blank" >10.1016/j.compbiomed.2011.07.010</a>

Result language
angličtina
Original language name
Automatic Colposcopy Video Tissue Classification Using Higher Order Entropy Based Registration
Original language description
Colposcopy is a well-established method to detect and diagnose intraepithelial lesions and uterine cervical cancer in early stages.During the exam color and texture changes are induced by the application of a contrast agent.Our aim is to densely quantifythe change in the acetowhite decay level for a sequence of images captured during a colposcopy examination.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Project
<a href="/en/project/GAP202%2F11%2F0111" target="_blank" >GAP202/11/0111: Automatic analysis of light and electron microscopy neuronal data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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