NUCLEI IMAGES ANALYSIS - Technology, Diagnostic Features and Experimental Study

I. Gurevich, D. Murashov, O. Salvetti, H. Niemann

2007

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.

References

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Paper Citation


in Harvard Style

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 - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007) ISBN 978-972-8865-75-7, pages 204-210. DOI: 10.5220/0002071002040210


in Bibtex Style

@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 - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)},
year={2007},
pages={204-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002071002040210},
isbn={978-972-8865-75-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)
TI - NUCLEI IMAGES ANALYSIS - Technology, Diagnostic Features and Experimental Study
SN - 978-972-8865-75-7
AU - Gurevich I.
AU - Murashov D.
AU - Salvetti O.
AU - Niemann H.
PY - 2007
SP - 204
EP - 210
DO - 10.5220/0002071002040210