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Proceedings of the Institute for System Programming of the RAS, 2020, Volume 32, Issue 3, Pages 119–130
DOI: https://doi.org/10.15514/ISPRAS-2020-32(3)-11 (Mi tisp518) 		 
Development of automated computer vision methods for cell counting and endometrial gland detection for medical images processing

D. I. Sergeeva, A. E. Andreevb, A. O. Drobintsevac, S. Cenevskaa, N. Kukavitsaa, P. D. Drobintseva

a Peter the Great St.Petersburg Polytechnic University
b The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott
c St.Petersburg State Pediatric Medical University
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DOI: https://doi.org/10.15514/ISPRAS-2020-32(3)-11
Abstract: Current work is focused on the processing of medical images obtained by performing a pathomorphological analysis of preparation. The algorithms for processing images of nuclei of light and confocal microscopy and tissue of light microscopy were considered in particular. The application of the proposed algorithms and software for detecting pathologies was justified.
Keywords: computer vision, image processing, digital pathology, detection and classification, cell and tissue nuclei, light microscopy, confocal microscopy.
Document Type: Article
Language: English
Citation: D. I. Sergeev, A. E. Andreev, A. O. Drobintseva, S. Cenevska, N. Kukavitsa, P. D. Drobintsev, “Development of automated computer vision methods for cell counting and endometrial gland detection for medical images processing”, Proceedings of ISP RAS, 32:3 (2020), 119–130
Citation in format AMSBIB
\Bibitem{SerAndDro20}
\by D.~I.~Sergeev, A.~E.~Andreev, A.~O.~Drobintseva, S.~Cenevska, N.~Kukavitsa, P.~D.~Drobintsev
\paper Development of automated computer vision methods for cell counting and endometrial gland detection for medical images processing
\jour Proceedings of ISP RAS
\yr 2020
\vol 32
\issue 3
\pages 119--130
\mathnet{http://mi.mathnet.ru/tisp518}
\crossref{https://doi.org/10.15514/ISPRAS-2020-32(3)-11}
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