Standard

Comparison of Unet architectures for segmentation of the left ventricle endocardial border on two-dimensional ultrasound images. / Zyuzin, Vasily; Chumarnaya, Tatiana.
Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. ed. / AY Dolganov. Institute of Electrical and Electronics Engineers Inc., 2019. p. 110-113 8736616 (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

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

Harvard

Zyuzin, V & Chumarnaya, T 2019, Comparison of Unet architectures for segmentation of the left ventricle endocardial border on two-dimensional ultrasound images. in AY Dolganov (ed.), Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019., 8736616, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 110-113, 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019, Yekaterinburg, Russian Federation, 25/04/2019. https://doi.org/10.1109/USBEREIT.2019.8736616

APA

Zyuzin, V., & Chumarnaya, T. (2019). Comparison of Unet architectures for segmentation of the left ventricle endocardial border on two-dimensional ultrasound images. In AY. Dolganov (Ed.), Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019 (pp. 110-113). [8736616] (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT.2019.8736616

Vancouver

Zyuzin V, Chumarnaya T. Comparison of Unet architectures for segmentation of the left ventricle endocardial border on two-dimensional ultrasound images. In Dolganov AY, editor, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 110-113. 8736616. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019). doi: 10.1109/USBEREIT.2019.8736616

Author

Zyuzin, Vasily ; Chumarnaya, Tatiana. / Comparison of Unet architectures for segmentation of the left ventricle endocardial border on two-dimensional ultrasound images. Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. editor / AY Dolganov. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 110-113 (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

BibTeX

@inproceedings{3d065d3bfd1a4fcc821e68566509961e,
title = "Comparison of Unet architectures for segmentation of the left ventricle endocardial border on two-dimensional ultrasound images",
keywords = "deep learning, left ventricle, segmentation, ultrasound images, Unet",
author = "Vasily Zyuzin and Tatiana Chumarnaya",
year = "2019",
month = apr,
day = "1",
doi = "10.1109/USBEREIT.2019.8736616",
language = "English",
series = "Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "110--113",
editor = "AY Dolganov",
booktitle = "Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019",
address = "United States",
note = "2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019 ; Conference date: 25-04-2019 Through 26-04-2019",

}

RIS

TY - GEN

T1 - Comparison of Unet architectures for segmentation of the left ventricle endocardial border on two-dimensional ultrasound images

AU - Zyuzin, Vasily

AU - Chumarnaya, Tatiana

PY - 2019/4/1

Y1 - 2019/4/1

KW - deep learning

KW - left ventricle

KW - segmentation

KW - ultrasound images

KW - Unet

UR - http://www.scopus.com/inward/record.url?scp=85068602477&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000481645800029

U2 - 10.1109/USBEREIT.2019.8736616

DO - 10.1109/USBEREIT.2019.8736616

M3 - Conference contribution

AN - SCOPUS:85068602477

T3 - Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019

SP - 110

EP - 113

BT - Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019

A2 - Dolganov, AY

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019

Y2 - 25 April 2019 through 26 April 2019

ER -

ID: 10269492