Keywords: diagnostics, dispersion of waves, mammary gland, modeling
MODELLING OF DISPERSION OF ELECTROMAGNETIC WAVES ON THE MAMMARY GLAND FOR DIAGNOSTICS CANCER DISEASES
UDC 621.396
DOI:
In the paper the approach for diagnosis of a breast cancer, on the basis of microwave testing is considered. The electromagnetic radiation falls on a mammary gland from a rectangular wave guide. On a difference between a response from healthy fabrics and a malignant tumor it is possible to find its presence.
1. Preobrazhensky Yu.P., Preobrazhenskaya N.S. Application simulation-semantic modeling and semi-Markov decision-making processes in clinical practice / Bulletin Voronezh Institute of High Technologies. 2010. No. 6. S. 83-89.
2. Zyablov E.L., Preobrazhensky Yu.P. Linguistic development tools of intellectual support based on simulation-semantic modeling / Bulletin of the Voronezh Institute high tech. 2009. No. 5. S. 024-026.
3. Brezhneva N.A., Preobrazhensky Yu.P., Churikov V.N., Scherbakov S.Ya. Modeling the relationship of socio-economic criteria and characteristics of the health care facility State Technical University. 2009.V. 5. № 9. P. 177- 181.
4. Preobrazhensky Yu.P., Shatalov M.M. Decisive rules of intellectual support for decisions of the doctor in the study multicriteria clinical objects / Bulletin of Voronezh Institute of High Technologies. 2008. No. 3. S. 077-079.
5. Choporov ON, Chupeev AN, Bregeda S.Yu. Significance Analysis Methods indicators for classification and prognostic modeling / Bulletin of the Voronezh State technical university. 2008. T. 4. No. 9. P. 92-94.
6. Bugakova E.N., Klimenko G.Ya., Choporov O.N. Analysis of medical and social risk factors for the development of allergic dermatitis / System analysis and management in biomedical systems. 2009. T. 8. No. 3. S. 795-798.
7. Choporov O.N. Optimization of the functioning of medical systems on the basis of integral estimates and classification and prognostic Modeling / Dissertation, Voronezh, 2001, 337 pp.
8. Choporov O.N., Razinkin K.A. Optimization model of choice initial management action plan for medical information systems / Management systems and information technologies. 2011.V. 46. No. 4.1. S. 185-187.
9. Maher H.A., Naumov N.V., Klimenko G.Ya., Choporov O.N. Development and using models to predict quality of life pregnant by their medical and social characteristics / System analysis and management in biomedical systems. 2011.V. 10. No. 4. S. 789-793.
10. Davydov M.I., Axel E.M. Incidence of malignant neoplasms of the population of Russia and the CIS countries in 2007 // Bulletin Russian Research Center named after N.N. Blokhina RAMS. - 2009.- v. 20. - No. 3 (adj. 1). - S. 45-77.
11. Uwe Fischer, Friedemann Baum Mammography: 100 clinical cases /; Per. from English ; Under the total. ed. prof. N.V. Zabolotskaya. - M.: MEDpressinform, 2009 .-- 368 p.
12. Popov S.S., Redkin A.N., Vartanyan K.F., Banov S.M., Preobrazhensky Yu.P. Predictive capabilities of mammoscintigraphy with 99mtctechnetril in the evaluation of indications for lymphodissection during breast cancer / Bulletin of experimental and clinical surgery. 2011.V. IV. No. 2. S. 294-297.
13. Alyaev Yu.G., Sinitsyn V.E., Grigoryev N.A. Magnetic resonance tomography in the diagnosis of urological diseases. M .: Practical Medicine, 2005.
14. Musatova M.M., Chernikhovskaya G.L. Model analysis ultra-wideband linear frequency modulated signal. Materials of the international scientific conference "Development Problems natural, technical and social systems "- Part 3- Taganrog: TTI SFU, 2007, p. 54-60.
15. Ling H. RCS of waveguide cavities: a hybrid boundary-integral / modal approach. / H. Ling // IEEE Trans. Antennas Propagat., 1990, vol. AP-38, no. 9. - Pp. 1413-1420.
16. Lvovich I.Ya., Preobrazhensky A.P., Filipova V.N. Building subsystems for analyzing the characteristics of metal-dielectric antennas based on a strict electrodynamic approach / Global scientific potential. 2014. No. 9 (42). S. 123-126.
17. Lvovich I.Ya., Lvovich Y.E., Preobrazhensky A.P. Building algorithm for estimating the average scattering characteristics of hollow structures / Telecommunications. 2014. No. 6. S. 2-5.
18. Preobrazhensky A.P. On the possibility of building objects with given requirements for dispersion characteristics / Bulletin Voronezh Institute of High Technologies. 2014. No. 13. S. 38-39.
19. Preobrazhensky A.P. On the application of combined approaches for assessment of the scattering characteristics of objects / Bulletin of Voronezh Institute of High Technologies. 2014. No. 12. P. 69-70.
20. Lvovich Ya.E., Lvovich I.Ya., Preobrazhensky A.P. Solving problems estimates of the scattering characteristics of electromagnetic waves on diffraction structures during their design / Bulletin Voronezh Institute of High Technologies. 2010. No. 6. S. 255-256.
21. Shutov G.V. Evaluation of the possibility of using an approximate model in assessing the average characteristics of the scattering of electromagnetic waves / Bulletin of the Voronezh Institute of High Technologies. 2013. No 10. S. 61-67.
22. Boluchevskaya O.A., Gorbenko O.N. Valuation Method Properties scattering characteristics of electromagnetic waves / Modeling, optimization and information technology. 2013. No. 3. P. 4.
23. Baranov A.V. Some features of ray calculation methods characteristics of the propagation of electromagnetic waves / Bulletin Voronezh Institute of High Technologies. 2013. No. 10. P. 9-13.
24. Shutov G.V. An approximate model for evaluating average performance scattering / Modern high technology. 2014. No. 5-2. S. 60.
25. Erasov S.V. Optimization processes in electrodynamic tasks / Bulletin of the Voronezh Institute of High Technologies. 2013. No. 10. S. 20-26.
26. Deirmendjan D. Scattering of electromagnetic radiation spherical polydisperse particles. M .: Mir, 1971. 303 p.
27. Kuchuganov A.V. Graphic Information Analysis Methodology decision support systems // Educational resources and technologies. 2014. No. 2. P. 112-115.
28. Puzyrevsky I.V. Statistical analysis of radiation intensity miniature krypton lamps // Educational Resources and technologies. 2014. No. 4. S. 6-9.
29. Kureichik VV, Bova VV, Kureichik VV Combined search with design // Educational resources and technologies. 2014. No. 2. S. 90-94.
30. Posyagin A.I. , Yuzhakov A.A. Overview of a two-layer neural network in self-routing analog-to-digital converter // Educational resources and technology. 2014. No. 2. S. 122-124.
Keywords: diagnostics, dispersion of waves, mammary gland, modeling
For citation: Pavlova A.S. MODELLING OF DISPERSION OF ELECTROMAGNETIC WAVES ON THE MAMMARY GLAND FOR DIAGNOSTICS CANCER DISEASES. Modeling, Optimization and Information Technology. 2015;3(1). URL: https://moit.vivt.ru/wp-content/uploads/2015/03/Pavlova_1_15_2.pdf DOI: (In Russ).
Published 31.03.2015