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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Vydáno v:	Ultrasonics Ročník 140; s. 107251
Hlavní autoři:	Howell, Lewis, Ingram, Nicola, Lapham, Roger, Morrell, Adam, McLaughlan, James R.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 01.05.2024
Témata:	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
On-line přístup:	Získat plný text
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