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15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
The XUltra project - Automated Analysis of Ovarian Ultrasound Images
Maribor, Slovenia
June 04-June 07
ISBN: 0-7695-1614-9
ASCII Text
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Bozidar Potocnik, Boris Cigale, Damjan Zazula, "The XUltra project - Automated Analysis of Ovarian Ultrasound Images," 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 262, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002.
 
 
BibTex
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@article{ 10.1109/CBMS.2002.1011387,
author = {Bozidar Potocnik and Boris Cigale and Damjan Zazula},
title = {The XUltra project - Automated Analysis of Ovarian Ultrasound Images},
journal ={2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)},
volume = {0},
year = {2002},
issn = {1063-7125},
pages = {262},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2002.1011387},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
TI - The XUltra project - Automated Analysis of Ovarian Ultrasound Images
SN - 1063-7125
SP
EP
A1 - Bozidar Potocnik,
A1 - Boris Cigale,
A1 - Damjan Zazula,
PY - 2002
KW - null
VL - 0
JA - 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
ER -
 
The paper deals with the problem of processing and interpretation of clinically recorded ultrasound images for the reason of following the growth of dominant ovarian follicles in a day-to-day manner. A part of the XUltra project achievements is presented. We propose three different automatic computer-based follicle identification algorithms. The first one is based on cellular neural networks. The second one is based on region growing segmentation method, while the third one processes entire image sequence with a predictor-corrector recognition scheme. The recognition rate of follicles with these algorithms goes up to 78 %, while the misidentification rate is around 15 %.
Citation:
Bozidar Potocnik, Boris Cigale, Damjan Zazula, "The XUltra project - Automated Analysis of Ovarian Ultrasound Images," cbms, pp.262, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002
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