Estimation of Volume of the Left Ventricle on MRT-Images of a Two-Chamber Projection of Heart on a Short Axis Based on Deep Learning › Research Explorer

Estimation of Volume of the Left Ventricle on MRT-Images of a Two-Chamber Projection of Heart on a Short Axis Based on Deep Learning

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

DOI

https://doi.org/10.1109/Dynamics.2017.8239495
Final published version

Original language	English
Title of host publication	2017 XI INTERNATIONAL IEEE SCIENTIFIC AND TECHNICAL CONFERENCE DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES (DYNAMICS)
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
Volume	2017-November
ISBN (Electronic)	9781538618196
DOIs	https://doi.org/10.1109/Dynamics.2017.8239495
Publication status	Published - 2017
Event	11th International IEEE Scientific and Technical Conference on Dynamics of Systems, Mechanisms and Machines (Dynamics) - Omsk Duration: 14 Nov 2017 → 16 Nov 2017

Publication series

Name	Dynamics of Systems Mechanisms and Machines
Publisher	IEEE
ISSN (Print)	2381-7593

Conference

Conference	11th International IEEE Scientific and Technical Conference on Dynamics of Systems, Mechanisms and Machines (Dynamics)
City	Omsk
Period	14/11/2017 → 16/11/2017

WoS ResearchAreas Categories

Engineering, Electrical & Electronic
Engineering, Mechanical

ASJC Scopus subject areas

Aerospace Engineering
Control and Systems Engineering
Automotive Engineering
Computational Mechanics

Research areas

heart, left ventricle, final systolic volume, final diastolic volume, fraction of emission, magnetic and resonant tomography, parasternal position of a short axis, neural networks, restoration of volume

ID: 7054603