Intelligent System for Computer-assisted Clinical Cancer Image Analysis
Abstract
We present CaDiS - a new multimedia medical workstation, which helps early and precise diagnosis and treatment of cervical cancer. The workstation is developed with the close participation of medical staff of Novosibirsk Clinical Center. CaDiS is an advanced tool for medical image recognition, designed on the basis of new algorithms for medical image analysis. It is under intensive development and will include history of illness, analysis and prediction, based on perceptual and conceptual semantics. The detection accuracy of the proposed system has reached to 91%, providing thus an indication that such intelligent schemes could be used as a supplementary diagnostic tool in cervical cancer detection.
- Citation
- BibTeX
Bondarenko, A. N. & Katsuk, A. V.,
(2007).
Intelligent System for Computer-assisted Clinical Cancer Image Analysis.
In:
Mayr, H. C. & Karagiannis, D.
(Hrsg.),
Information systems technology and its applications – 6th international conference – ISTA 2007.
Bonn:
Gesellschaft für Informatik e. V..
(S. 215-220).
@inproceedings{mci/Bondarenko2007,
author = {Bondarenko, Anatoly N. AND Katsuk, Andrei V.},
title = {Intelligent System for Computer-assisted Clinical Cancer Image Analysis},
booktitle = {Information systems technology and its applications – 6th international conference – ISTA 2007},
year = {2007},
editor = {Mayr, Heinrich C. AND Karagiannis, Dimitris} ,
pages = { 215-220 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
author = {Bondarenko, Anatoly N. AND Katsuk, Andrei V.},
title = {Intelligent System for Computer-assisted Clinical Cancer Image Analysis},
booktitle = {Information systems technology and its applications – 6th international conference – ISTA 2007},
year = {2007},
editor = {Mayr, Heinrich C. AND Karagiannis, Dimitris} ,
pages = { 215-220 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-2017
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2007
Language:
(en)

Content Type: Text/Conference Paper