Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound

Lung ultrasound (LUS) has emerged as a safe and cost-effective modality for assessing lung health, particularly during the COVID-19 pandemic. However, interpreting LUS images remains challenging due to its reliance on artefacts, leading to operator variability and limiting its practical uptake. To a...

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Bibliographic Details

Published in:	Ultrasonics Vol. 140; p. 107251
Main Authors:	Howell, Lewis, Ingram, Nicola, Lapham, Roger, Morrell, Adam, McLaughlan, James R.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.05.2024
Subjects:	Artificial intelligence COVID-19 Deep learning Image segmentation Lung ultrasound Point of care ultrasound Deep learning COVID-19 Image segmentation Point of care ultrasound Lung ultrasound Artificial intelligence
ISSN:	0041-624X, 1874-9968, 1874-9968
Online Access:	Get full text
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