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Artificial Intelligence and Decision Making, 2017, Issue 3, Pages 10–20 (Mi iipr250)  
Data analysis

Allocation and cognitive visualization of transplanted mesenchymal stem cells in images of a magnetic resonance tomography

V. P. Fralenkoa, M. V. Khachumovb, M. V. Shustovaa

a Ailamazyan Program Systems Institute of Russian Academy of Sciences
b Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
Full-text PDF (1342 kB)
Abstract: The analysis of the current state of research in the field of scientific visualization of transplanted mesenchymal stem cells in images of a magnetic resonance tomography is given. A set of algorithms for solving problems of image processing for automatic allocation and in vivo visualization of stem cells transplanted in recipients brain is offered. As experimental animals rats are used. It is assumed that the complex will be use as a basis of software for medical researchers.
Keywords: magnetic resonance tomography, ischemic lesion, recognition, visualization, mesenchymal stem cells, preprocessing, segmentation, filtering, comparative analysis.
Funding agency Grant number
Russian Foundation for Basic Research 16-29-07116
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. P. Fralenko, M. V. Khachumov, M. V. Shustova, “Allocation and cognitive visualization of transplanted mesenchymal stem cells in images of a magnetic resonance tomography”, Artificial Intelligence and Decision Making, 2017, no. 3, 10–20
Citation in format AMSBIB
\Bibitem{FraKhaShu17}
\by V.~P.~Fralenko, M.~V.~Khachumov, M.~V.~Shustova
\paper Allocation and cognitive visualization of transplanted mesenchymal stem cells in images of a magnetic resonance tomography
\jour Artificial Intelligence and Decision Making
\yr 2017
\issue 3
\pages 10--20
\mathnet{http://mi.mathnet.ru/iipr250}
\elib{https://elibrary.ru/item.asp?id=30009264}
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