Search for the contours of areas with a specific pathological structure on MRI images.

  • А. Poliachenko Taras Shevchenko National University of Kyiv
Keywords: search, localization, MRI, autocorrelation, convolutional neural networks, pathological structure.

Abstract

The article reviews and suggests methods and models for searching the outlines of areas with a specific pathological structure on MRI images. To solve the problem of the localization of abnormal tissue formations on MRI images, spatial autocorrelation coefficients based on local and global Moran indices can be used. The use of convolutional neural networks has been proposed to search for contours of areas with a specific pathological structure on MRI images.

References

Alonso W. Location and Land Use. Harvard University Press: Cambridge, MA. – 1964.

Anselin L. Spatial Data Analysis with SpaceStat and ArcView. Workbook (3 rd Edition) University of Illinois. – 1999.

Anselin L. Spatial Econometrics: Methods and Models, Kluwer Academic Publishers, Dordrecht. – 1988.

Anselin L., Can A. Spatial Effects in Models of Mortgage Origination: Paper presented at the 91st annual meeting of the Association of American Geographers. - 1995.

Chen Y. New Approaches for Calculating Moran’s Index of Spatial Autocorrelation, 2013. PLoS ONE 8(7): e68336. DOI:10.1371/journal.pone.0068336.

Cliff A., Ord J. Spatial Autocorrelation. Pion, London, 1973.

Digital Imaging and Communications in Medicine (DICOM). – http://medical.nema.org/dicom

Fingleton B., Lopez-Bazo E. Empirical growth models with spatial effects, Papers in Regional Science, Blackwell Publishing. – 2006. - Vol. 85(2). - P. 177–198.

Geary R. The continiguity ratio and statistical mapping. The Incorporated Statistician, 5, 1954. 115 – 145.

Getis A, Ord J.K. The analysis of spatial association by use of distance statistics: Geographical Analysis. – 1992. Vol. 24.

Getis A., Mur J., Zoller H. (ed.) Spatial Econometrics and Spatial Statistics, Palgrave, London. – 2004.

Getis A., Ord J.K. Local spatial statistics: an overview: Spatial analysis: modelling in a GIS environment. – 1996.

Local Measures of Spatial Autocorrelation. Briggs Henan University, 2010. Available at: http://www.utdallas.edu/~rbriggs/henan/11SAlocal.ppt (accessed 26 December 2018).

Martin P., Ottaviano G. Growing locations: industry location in a model of endogenous growth / European Economic Review. – 1999. – Vol. 43. – P. 281–302.

Moran P. Notes on Continuous Stochastic Phenomena, Biometrika. – 1950. – Vol. 37. – P. 17-33.

Moran P. The interpretation of statistical maps. Journal of the Royal Statistical Society, Series B, 10. 1948. 243 – 251.

Paelinck J., Klaassen L. Spatial Econometrics. Saxon House. Farnborough, 1979.

V.N Afanasiev, M.M Yuzbashev. Time series analysis and forecasting: A textbook. - M .: Finances and statistics, 2001. - 228 p.

Berndt E.R. Econometrics Practice: Classics and Modernity. - M .: NTI-DANA, 2005. - 864 p.

Vakulenko E.S Introduction to Spatial Econometrics / M .: HSE, 2013.

Kendall M. Multivariate statistical analysis and time series / M. Kendall, A. Stewart. - M .: Science, 1976. - 736 p.


Abstract views: 3
PDF Downloads: 2
Published
2020-03-27
How to Cite
PoliachenkoА. (2020). Search for the contours of areas with a specific pathological structure on MRI images . COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (34), 96-107. Retrieved from http://cit-journal.com.ua/index.php/cit/article/view/113