Email this article Development and testing of a medical decision support system in endoscopy
- Authors: Ganin A.N.1, Khryaschev V.V.2, Kashin S.V.3, Zavyalov D.V.3
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Affiliations:
- LLC "Point of View"
- P.G. Demidov Yaroslavl State University
- Yaroslavl Regional Clinical Oncological Hospital
- Issue: Vol 2, No 1S (2021)
- Pages: 5-5
- Section: Articles
- URL: https://journals.rcsi.science/DD/article/view/70233
- DOI: https://doi.org/10.17816/DD20211s5
- ID: 70233
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##article.viewOnOriginalSite##About the authors
A. N. Ganin
LLC "Point of View"
Author for correspondence.
Email: vhr@yandex.ru
Russian Federation, Yaroslavl
V. V. Khryaschev
P.G. Demidov Yaroslavl State University
Email: vhr@yandex.ru
Russian Federation, 14, Sovetskaya street,Yaroslavl, 150003
S. V. Kashin
Yaroslavl Regional Clinical Oncological Hospital
Email: vhr@yandex.ru
Russian Federation, Yaroslavl
D. V. Zavyalov
Yaroslavl Regional Clinical Oncological Hospital
Email: vhr@yandex.ru
Russian Federation, Yaroslavl
References
- Lebedev AA, Khryashchev VV, Kazina EM, et al. Recognition of the mouth of the vermiform process on endoscopic images of the rectum based on a convolutional neural network. In: XXII International Conference “Digital Signal Processing and its Application” (DSPA), March 25–27, 2020. Moscow; 2020. Р. 638–642. (In Russ).
- Lebedev A, Khryashchev V, Kazina E, et al. Automatic identification of appendiceal orifice on colonoscopy images using deep neural network / Proceedings of 2020 IEEE East-West Design and Test Symposium (EWDTS, September 2020). Varna; Bulgaria; 2020. Р. 367–371.
