Segmentation Based on Determinate Chaos of Histological Specimen Images

• Autorzy: Orel V. , Gusynin A. , Selezneva H. , Kolesnik S. , Stendyk H. , Komisarova H.
• Języki publikacji: EN

Abstrakty

EN

Neuroblastoma is one of the most abundant tumors in infancy and ranks the fourth place among all malignant tumors of children, after acute leukemia, tumors of central nervous system and malignant lymphomas. Histological examination of atypical cell structures is mandatory for diagnosing and forecasting of neoplasm growth .. At present, the image processing of histological specimens is made by a professional histologist manually and is based on visual perception of the histologist. Naturally, visual approach has some shortcomings. Therefore, for objective estimation of medical images, increasing diagnosis accuracy and information processing speed, the computer analysis of histological images is a current need. In this paper, the features of the digital images of histological specimens and methods for digital analysis of medical images are presented. An innovative information system for instant diagnosis of the stage of neuroblastoma based on digital images analysis of histological specimens is developed. In presented studies, a new algorithm, based on deterministic chaos of digital images of histological specimens which uses original formalized indicators (irregularity of contoured zone of diagnostic interest, its structures heterogeneity including cells, nuclei, itochondrion etc.) have been implemented.

Słowa kluczowe

EN

image analysis; segmentation; histological specimen; neuroblastoma

• Wydawca: Foundation for Young Scientists
• Czasopismo: Challenges of Modern Technology
• Rocznik: 2013
• Tom: Vol. 4, no. 1
• Strony: 3--8
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Orel V.

autor

Gusynin A.

• National Technical University of Ukraine “Kyiv Polytechnic Institute”, Department of Medical Cybernetics and Telemedicine, Kyiv, Ukraine

autor

Selezneva H.

• National Technical University of Ukraine “Kyiv Polytechnic Institute”, Department of Medical Cybernetics and Telemedicine, Kyiv, Ukraine

autor

Kolesnik S.

autor

Stendyk H.

autor

Komisarova H.

Bibliografia

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• [5] Orel, V., Gusynin A., Selezneva H., Kolesnik S., Stendyk H., Komisarova H. et al. “Methods of digital images analysis of histological specimens”., III International Conference ”Biomedical engineering and technology”., March 15-–16, Ukraine, 2012,: p.40 ([in Russian]).
• [6] Sokolova, N., Orel V., Gusynin A., Selezneva H. et al. “Database Design for Information System of Neuroblastoma Development Forecasting based on the Object-Oriented Approach”., Bulletin Kherson National Technical University, No. 1(44), 2012: pp. 86-–91, 2012 ([in Russian].).
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