Standard

Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. / Zyuzin, Vasily; Sergey, Porshnev; Mukhtarov, Andrey et al.
Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 76-78.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Zyuzin, V, Sergey, P, Mukhtarov, A, Chumarnaya, T, Solovyova, O, Bobkova, A & Myasnikov, V 2018, Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. in Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., pp. 76-78, 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018, Yekaterinburg, Russian Federation, 06/05/2018. https://doi.org/10.1109/USBEREIT.2018.8384554

APA

Zyuzin, V., Sergey, P., Mukhtarov, A., Chumarnaya, T., Solovyova, O., Bobkova, A., & Myasnikov, V. (2018). Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. In Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018 (pp. 76-78). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT.2018.8384554

Vancouver

Zyuzin V, Sergey P, Mukhtarov A, Chumarnaya T, Solovyova O, Bobkova A et al. Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. In Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 76-78 doi: 10.1109/USBEREIT.2018.8384554

Author

Zyuzin, Vasily ; Sergey, Porshnev ; Mukhtarov, Andrey et al. / Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 76-78

BibTeX

@inproceedings{3b21dbb871214a26bc999d80c81c7cca,
title = "Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet",
keywords = "deep learning, left ventricle, segmentation, ultrasound images, Unet",
author = "Vasily Zyuzin and Porshnev Sergey and Andrey Mukhtarov and Tatyana Chumarnaya and Olga Solovyova and Anastasia Bobkova and Vladislav Myasnikov",
year = "2018",
month = jun,
day = "13",
doi = "10.1109/USBEREIT.2018.8384554",
language = "English",
pages = "76--78",
booktitle = "Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018 ; Conference date: 06-05-2018 Through 08-05-2018",

}

RIS

TY - GEN

T1 - Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet

AU - Zyuzin, Vasily

AU - Sergey, Porshnev

AU - Mukhtarov, Andrey

AU - Chumarnaya, Tatyana

AU - Solovyova, Olga

AU - Bobkova, Anastasia

AU - Myasnikov, Vladislav

PY - 2018/6/13

Y1 - 2018/6/13

KW - deep learning

KW - left ventricle

KW - segmentation

KW - ultrasound images

KW - Unet

UR - http://www.scopus.com/inward/record.url?scp=85049891026&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=35762117

U2 - 10.1109/USBEREIT.2018.8384554

DO - 10.1109/USBEREIT.2018.8384554

M3 - Conference contribution

AN - SCOPUS:85049891026

SP - 76

EP - 78

BT - Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018

Y2 - 6 May 2018 through 8 May 2018

ER -

ID: 7655269