A method for recognizing changes in stomach mucosal microstructure by video endoscopy


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This paper proposes the method for analysis and subsequent recognition of stomach mucosal changes by video endoscopy, including real time mode. The method is based on the parallel use of image analysis algorithms and a neural network. The model for the quantitative estimate of changes in the mucosal microstructure is proposed. The paper performs the correlation analysis of the results from the estimate of mucosal changes that was obtained by the image analysis algorithms and using the neural network. The accuracy of neoplasm recognition in endoscopic images is estimated for different combinations of algorithms and descriptors.

作者简介

R. Kadushnikov

LLC “SIAMS”

Email: mizgulin@gmail.com
俄罗斯联邦, Yekaterinburg, 620078

V. Mizgulin

LLC “SIAMS”

编辑信件的主要联系方式.
Email: mizgulin@gmail.com
俄罗斯联邦, Yekaterinburg, 620078

O. Kulagina

Medical Scientific Educational Center

Email: mizgulin@gmail.com
俄罗斯联邦, Moscow, 119991

E. Fedorov

Pirogov National Research Medical University

Email: mizgulin@gmail.com
俄罗斯联邦, Moscow, 117997

D. Starodubov

LLC “SIAMS”

Email: mizgulin@gmail.com
俄罗斯联邦, Yekaterinburg, 620078

S. Studenok

LLC “SIAMS”

Email: mizgulin@gmail.com
俄罗斯联邦, Yekaterinburg, 620078

K. Erendzhenova

Pirogov National Research Medical University

Email: mizgulin@gmail.com
俄罗斯联邦, Moscow, 117997

I. Kamenin

LLC “SIAMS”

Email: mizgulin@gmail.com
俄罗斯联邦, Yekaterinburg, 620078

Yu. Davi

LLC “SIAMS”

Email: mizgulin@gmail.com
俄罗斯联邦, Yekaterinburg, 620078

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