Technology for Automated Morphologic Analysis of Cytological Slides. Methods and Results

Author

Gurevich, I. ; Kharazishvili, D. ; Murashov, D. ; Salvetti, O. ; Vorobjev, I.

Author_Institution

Dorodnicyn Comput. Centre, Russian Acad. of Sci., Moscow

Volume

4

fYear

0

fDate

0-0 0

Firstpage

711

Lastpage

714

Abstract

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

Keywords

cellular biophysics; feature extraction; image classification; image segmentation; mathematical morphology; medical image processing; tumours; automated morphologic analysis; cytological slides; feature synthesis; image classification; information technology; lymphatic system tumors; nuclei description; nuclei image analysis; nuclei segmentation; patients; pattern recognition; scale-space techniques; Image color analysis; Image segmentation; Information analysis; Lymphatic system; Neoplasms; Pattern recognition; Region 8; Statistical analysis; Testing; Tumors;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.1104

Filename

1699940