Development and testing of a medical decision support system in endoscopy

Autores: Ganin A.N.¹, Khryaschev V.V.², Kashin S.V.³, Zavyalov D.V.³
Afiliações:
1. LLC "Point of View"
2. P.G. Demidov Yaroslavl State University
3. Yaroslavl Regional Clinical Oncological Hospital
Edição: Volume 2, Nº 1S (2021)
Páginas: 5-5
Seção: Articles
URL: https://journals.rcsi.science/DD/article/view/70233
DOI: https://doi.org/10.17816/DD20211s5
ID: 70233

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LLC "Point of View"

Autor responsável pela correspondência
Email: vhr@yandex.ru
Rússia, Yaroslavl

P.G. Demidov Yaroslavl State University

Email: vhr@yandex.ru
Rússia, 14, Sovetskaya street,Yaroslavl, 150003

Yaroslavl Regional Clinical Oncological Hospital

Email: vhr@yandex.ru
Rússia, Yaroslavl

Yaroslavl Regional Clinical Oncological Hospital

Email: vhr@yandex.ru
Rússia, Yaroslavl

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.

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