Title :
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
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;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.1104
