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[HTML][HTML] Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound
L Howell, N Ingram, R Lapham, A Morrell… - Ultrasonics, 2024 - Elsevier
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 …
health, particularly during the COVID-19 pandemic. However, interpreting LUS images …
Medical Imaging-based Artificial Intelligence in Pneumonia: A Narrative Review
Pneumonia is a pulmonary inflammation caused by various pathogens and remains one of
the leading causes of global mortality. In clinic, chest X-ray (CXR), computed tomography …
the leading causes of global mortality. In clinic, chest X-ray (CXR), computed tomography …
Geometry measurement of subsurface cracks in concrete from ultrasonic images
Geometry measurement of concrete subsurface damage is as crucial as detection and
localization for condition evaluation. Ultrasonic reflection-based imaging can map …
localization for condition evaluation. Ultrasonic reflection-based imaging can map …
Machine Learning Algorithm Detection of Confluent B-Lines
Objective B-lines are a ring-down artifact of lung ultrasound that arise with increased
alveolar water in conditions such as pulmonary edema and infectious pneumonitis …
alveolar water in conditions such as pulmonary edema and infectious pneumonitis …
Frame-to-video-based Semi-supervised Lung Ultrasound Scoring Model
Lung ultrasound (LUS) is a valuable tool for bedside real-time monitoring of critically ill
patients with respiratory diseases. Previous studies primarily focused on LUS frame level …
patients with respiratory diseases. Previous studies primarily focused on LUS frame level …
Artificial intelligence (AI) and lung ultrasound in infectious pulmonary disease
G Trovato, M Russo - Frontiers in Medicine, 2021 - frontiersin.org
Deep Learning algorithms are ready for use and can aid in the interpretation of radiological
findings monitoring change during follow-up. However, the translational approach to …
findings monitoring change during follow-up. However, the translational approach to …
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images
The identification of artefacts, particularly B-lines, in lung ultrasound (LUS), is crucial for
assisting clinical diagnosis, prompting the development of innovative methodologies. While …
assisting clinical diagnosis, prompting the development of innovative methodologies. While …
Dubline: a deep unfolding network for B-line detection in lung ultrasound images
In the context of lung ultrasound, the identification of B-lines, which serve as indicators of
interstitial lung disease and pulmonary edema, holds immense significance in clinical …
interstitial lung disease and pulmonary edema, holds immense significance in clinical …
Domain Knowledge-Enhanced Integrated Model for LUS Video Scoring
Pneumonia, an acute respiratory infection marked by inflammatory responses typically
manifesting in the alveoli, distal airways, and pulmonary interstitium, poses a substantial risk …
manifesting in the alveoli, distal airways, and pulmonary interstitium, poses a substantial risk …
Lightweight Lung Ultrasound Video Analysis Model
W **ng, Z Zhu, Y Liu, C He, Y Li… - 2024 IEEE Ultrasonics …, 2024 - ieeexplore.ieee.org
Ultrasound, as a fast, convenient, non-radiation imaging technology, has been widely used
in lung disease diagnosis and bedside monitoring in clinic. Due to the dynamic changes in …
in lung disease diagnosis and bedside monitoring in clinic. Due to the dynamic changes in …