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Authors: I. Gurevich 1 ; D. Murashov 1 ; O. Salvetti 2 and H. Niemann 3

Affiliations: 1 Dorodnicyn Computing Centre of the Russian Academy of Sciences, Russian Federation ; 2 Institute of Information Science and Technologies, CNR, Italy ; 3 University of Erlangen-Nuremberg, Germany

Keyword(s): Medical image mining, image analysis, information technology for automated diagnostics, morphologic analysis of the cytological slides.

Abstract: The information technology for automated morphologic analysis of the cytological slides, taken from patients with the lymphatic system tumours, was developed. The main contributions of the paper are the technology, the set of features for representation of nuclei images in pattern recognition problems (automated diagnostics), and experimental study of the technology and the features informativeness. 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.

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Paper citation in several formats:
Gurevich, I.; Murashov, D.; Salvetti, O. and Niemann, H. (2007). NUCLEI IMAGES ANALYSIS - Technology, Diagnostic Features and Experimental Study. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Mathematical and Linguistic Techniques for Image Mining; ISBN 978-972-8865-75-7; ISSN 2184-4321, SciTePress, pages 204-210. DOI: 10.5220/0002071002040210

@conference{mathematical and linguistic techniques for image mining07,
author={I. Gurevich. and D. Murashov. and O. Salvetti. and H. Niemann.},
title={NUCLEI IMAGES ANALYSIS - Technology, Diagnostic Features and Experimental Study},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Mathematical and Linguistic Techniques for Image Mining},
year={2007},
pages={204-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002071002040210},
isbn={978-972-8865-75-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Mathematical and Linguistic Techniques for Image Mining
TI - NUCLEI IMAGES ANALYSIS - Technology, Diagnostic Features and Experimental Study
SN - 978-972-8865-75-7
IS - 2184-4321
AU - Gurevich, I.
AU - Murashov, D.
AU - Salvetti, O.
AU - Niemann, H.
PY - 2007
SP - 204
EP - 210
DO - 10.5220/0002071002040210
PB - SciTePress

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