Naidoo, Preshen, Alajrami, Eman I, Lane, Elisabeth Sarah, Jevsikov, Jevgeni, Shun-shin, Matthew J, Francis, Darrel P and Zolgharni, Massoud (2022) Influence of Loss Function on Left Ventricular Volume and Ejection Fraction Estimation in Deep Neural Networks. In: Medical Imaging with Deep Learning, 6 – 8 July 2022, Zurich, Switzerland.

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Abstract

Quantification of the left ventricle shape is crucial in evaluating cardiac function from 2D echocardiographic images. This study investigates the applicability of established loss
functions when optimising the U-Net model for 2D echocardiographic left ventricular segmentation. Our results indicate loss functions are a significant component for optimal left ventricle volume measurements when established segmentation metrics could be imperceptible.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Echocardiography; Left Ventricle Segmentation; Deep learning
Subjects:	Computing > Intelligent systems
Depositing User:	Massoud Zolgharni
Date Deposited:	22 Sep 2023 08:44
Last Modified:	04 Nov 2024 12:23
URI:	https://repository.uwl.ac.uk/id/eprint/9076

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