Influence of Loss Function on Left Ventricular Volume and Ejection Fraction Estimation in Deep Neural Networks
Preshen Naidoo, Eman I Alajrami, Elisabeth Sarah Lane, Jevgeni Jevsikov, Matthew J Shun-shin, Darrel P Francis, Massoud Zolgharni
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.
Thursday 7th July
Poster Session 2.2 - onsite 11:00 - 12:00, virtual 15:20 - 16:20 (UTC+2)