A method for recognizing changes in stomach mucosal microstructure by video endoscopy
- Авторлар: Kadushnikov R.M.1, Mizgulin V.V.1, Kulagina O.A.2, Fedorov E.D.3, Starodubov D.I.1, Studenok S.I.1, Erendzhenova K.Y.3, Kamenin I.G.1, Davi Y.M.1
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Мекемелер:
- LLC “SIAMS”
- Medical Scientific Educational Center
- Pirogov National Research Medical University
- Шығарылым: Том 27, № 2 (2017)
- Беттер: 301-308
- Бөлім: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195071
- DOI: https://doi.org/10.1134/S1054661817020067
- ID: 195071
Дәйексөз келтіру
Аннотация
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.
Авторлар туралы
R. Kadushnikov
LLC “SIAMS”
Email: mizgulin@gmail.com
Ресей, Yekaterinburg, 620078
V. Mizgulin
LLC “SIAMS”
Хат алмасуға жауапты Автор.
Email: mizgulin@gmail.com
Ресей, Yekaterinburg, 620078
O. Kulagina
Medical Scientific Educational Center
Email: mizgulin@gmail.com
Ресей, Moscow, 119991
E. Fedorov
Pirogov National Research Medical University
Email: mizgulin@gmail.com
Ресей, Moscow, 117997
D. Starodubov
LLC “SIAMS”
Email: mizgulin@gmail.com
Ресей, Yekaterinburg, 620078
S. Studenok
LLC “SIAMS”
Email: mizgulin@gmail.com
Ресей, Yekaterinburg, 620078
K. Erendzhenova
Pirogov National Research Medical University
Email: mizgulin@gmail.com
Ресей, Moscow, 117997
I. Kamenin
LLC “SIAMS”
Email: mizgulin@gmail.com
Ресей, Yekaterinburg, 620078
Yu. Davi
LLC “SIAMS”
Email: mizgulin@gmail.com
Ресей, Yekaterinburg, 620078
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