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Technology for Automated Morphologic Analysis of Cytological Slides. Methods and Results
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.110418th International Conference on Patt ...
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I. Gurevich, D. Kharazishvili, D. Murashov, O. Salvetti, I. Vorobjev, "Technology for Automated Morphologic Analysis of Cytological Slides. Methods and Results," Pattern Recognition, International Conference on, vol. 4, pp. 711-714, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
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@article{ 10.1109/ICPR.2006.1104,
author = {I. Gurevich and D. Kharazishvili and D. Murashov and O. Salvetti and I. Vorobjev},
title = {Technology for Automated Morphologic Analysis of Cytological Slides. Methods and Results},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {711-714},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1104},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Technology for Automated Morphologic Analysis of Cytological Slides. Methods and Results
SN - 1051-4651
SP711
EP714
A1 - I. Gurevich,
A1 - D. Kharazishvili,
A1 - D. Murashov,
A1 - O. Salvetti,
A1 - I. Vorobjev,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
I. Gurevich, Dorodnicyn Computing Centre of the Russian Academy of Sciences
D. Kharazishvili, Hematological Scientific Center of the Russian Academy of Medical Sciences
D. Murashov, Dorodnicyn Computing Centre of the Russian Academy of Sciences
O. Salvetti, Institute of Information Science and Technologies, CNR, 1, Via G. Moruzzi, Pisa, Italy
I. Vorobjev, Hematological Scientific Center of the Russian Academy of Medical Sciences
The information technology for automated morphologic analysis of the cytological slides, taken from patients with the lymphatic system tumors, was developed. The main components of the technology are: acquisition of cytological slides, method for segmentation of nuclei in the cytological slides, synthesis of the feature based nuclei description for subsequent classification, nuclei image analysis based on pattern recognition and scale-space techniques. The experiments confirmed efficiency of the developed technology. The discussion of the obtained results is given. The developed technology is implemented in the software system.
Citation:
I. Gurevich, D. Kharazishvili, D. Murashov, O. Salvetti, I. Vorobjev, "Technology for Automated Morphologic Analysis of Cytological Slides. Methods and Results," icpr, vol. 4, pp.711-714, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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