Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound-Reference-Cited by-同舟云学术

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

Published:2024-05 Issue: Volume:140 Page:107251
ISSN:0041-624X
Container-title:Ultrasonics
language:en
Short-container-title:Ultrasonics

Author:

Howell Lewis^ORCID,Ingram Nicola,Lapham Roger,Morrell Adam,McLaughlan James R.^ORCID

Funder

UKRI

Publisher

Elsevier BV

Reference69 articles.

1. Artificial intelligence in healthcare;Yu;Nat. Biomed. Eng.,2018

2. Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections;Burton;BMC Med. Inf. Decis. Mak.,2019

3. The role of artificial intelligence in healthcare: a structured literature review;Secinaro;BMC Med. Inf. Decis. Mak.,2021

4. Deep learning for visual understanding: A review;Guo;Neurocomputing,2016

5. U-net: Convolutional networks for biomedical image segmentation;Ronneberger,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A numerical study on machine-learning-based ultrasound tomography of bubbly two-phase flows;Ultrasonics;2024-07

2. A lung disease diagnosis algorithm based on 2D spectral features of ultrasound RF signals;Ultrasonics;2024-05

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