Jevsikov, Jevgeni, Lane, Elisabeth Sarah, Stowell, Catherine C, Shun-shin, Matthew J, Francis, Darrel P and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2022) Automated analysis of mitral inflow doppler using convolutional neural networks. In: Medical Imaging with Deep Learning, 6–8 Jul 2022, Zurich.

Preview

PDF automated_analysis_of_mitral_i.pdf - Accepted Version Download (1MB) | Preview

Abstract

Doppler echocardiography is commonly used for functional assessment of heart valves such as mitral valve. Currently, the measurements are made manually which is a laborious and subjective process. We have demonstrated the feasibility of using neural networks to fully automate the process of mitral valve inflow measurements. Experiments show that the automated system yields comparable performance to the experts.

Item Type:	Conference or Workshop Item (Poster)
Keywords:	Cardiac imaging, Echocardiography, Deep learning
Subjects:	Computing > Intelligent systems
Related URLs:	Publisher
Depositing User:	Massoud Zolgharni
Date Deposited:	17 Nov 2022 14:30
Last Modified:	04 Nov 2024 11:31
URI:	https://repository.uwl.ac.uk/id/eprint/9074

Downloads

Actions (login required)

View Item