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Measurement Techniques
Published in: Measurement Techniques 10/2013

01-01-2013 | MEDICAL AND BIOLOGICAL MEASUREMENTS

Construction of a knowledge base for interactive recognition in systems for computer microscopy

Authors: E. Yu. Berdnikovich, E. S. Lebedeva, V. G. Nikitaev, K. S. Chistov

Published in: Measurement Techniques | Issue 10/2013

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Abstract

We consider data-measuring systems for computer microscopy for morphological diagnostics, including expert systems based on the method of interactive recognition, with the use of qualitative and quantitative informative signs of tumors. Formalized lists of signs are created based on expert judgments of doctors/cytologists and histologists, and we prepare, together with color images of the tumors, the nucleus of the knowledge base (KB) of expert systems (ES) according to different localizations. We propose a principle of organization of an ES, display the structure of the KB, and describe a model for interactive recognition, and also the logic structure of the database realized in the Oracle Database 11g.
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Literature
1.
I. P. Shabalova and N. Yu. Polonskaya, Fundamentals of Clinical Cytological Diagnostics [in Russian], GEOTAR-Medina, Moscow (2009).
2.
V. G. Nikitaev and E. Yu. Berdnikovich, “Systemic principles for construction of computer complexes of histological diagnostics,” Inzh. Fizika, No. 4, 58–68 (2004).
3.
V. N. Mikhailov et al., “Statistical estimates in decision-support systems,” in: Proc. Sci. Session MIFI-2003 [in Russian], in 14 volumes, MIFI, Moscow (2003), Vol. 1, p. 238.
4.
T. N. Kasoyan et al., “IMAGE system in cytological diagnostics of diseases of the thyroid gland,” Klin. Lab. Diagn., No. 9, 30 (2003).
Metadata
Title
Construction of a knowledge base for interactive recognition in systems for computer microscopy
Authors
E. Yu. Berdnikovich
E. S. Lebedeva
V. G. Nikitaev
K. S. Chistov
Publication date
01-01-2013
Publisher
Springer US
Published in
Measurement Techniques / Issue 10/2013
Print ISSN: 0543-1972
Electronic ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-012-0111-z

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