Cervical cancer detection using colposcopic images: a temporal approach

Result code in IS VaVaI

RIV/67985556:_____/05:00411458 - isvavai.cz

Result on the web

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DOI - Digital Object Identifier

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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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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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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