Standard

Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records. / Bobkova, A. O.; Zyuzin, V. V.; Porshnev, S. V. et al.
Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 841-844 7991826.

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

Harvard

Bobkova, AO, Zyuzin, VV, Porshnev, SV & Bobkov, VV 2016, Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records. in Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings., 7991826, Institute of Electrical and Electronics Engineers Inc., pp. 841-844, 10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016, Baku, Azerbaijan, 12/10/2016. https://doi.org/10.1109/ICAICT.2016.7991826

APA

Bobkova, A. O., Zyuzin, V. V., Porshnev, S. V., & Bobkov, V. V. (2016). Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records. In Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings (pp. 841-844). [7991826] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAICT.2016.7991826

Vancouver

Bobkova AO, Zyuzin VV, Porshnev SV, Bobkov VV. Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records. In Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 841-844. 7991826 doi: 10.1109/ICAICT.2016.7991826

Author

Bobkova, A. O. ; Zyuzin, V. V. ; Porshnev, S. V. et al. / Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records. Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 841-844

BibTeX

@inproceedings{cc3e28b6ea3544238b52189bb7e78bbf,
title = "Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records",
keywords = "apical four-chamber view, Echocardiography, edge detection, left ventricle, ultrasound images",
author = "Bobkova, {A. O.} and Zyuzin, {V. V.} and Porshnev, {S. V.} and Bobkov, {V. V.}",
year = "2016",
doi = "10.1109/ICAICT.2016.7991826",
language = "English",
pages = "841--844",
booktitle = "Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016 ; Conference date: 12-10-2016 Through 14-10-2016",

}

RIS

TY - GEN

T1 - Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records

AU - Bobkova, A. O.

AU - Zyuzin, V. V.

AU - Porshnev, S. V.

AU - Bobkov, V. V.

PY - 2016

Y1 - 2016

KW - apical four-chamber view

KW - Echocardiography

KW - edge detection

KW - left ventricle

KW - ultrasound images

UR - http://www.scopus.com/inward/record.url?scp=85034267871&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000432161300164

U2 - 10.1109/ICAICT.2016.7991826

DO - 10.1109/ICAICT.2016.7991826

M3 - Conference contribution

AN - SCOPUS:85034267871

SP - 841

EP - 844

BT - Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016

Y2 - 12 October 2016 through 14 October 2016

ER -

ID: 6165958