New international guidelines and consensus on the use of lung ultrasound
Following the innovations and new discoveries of the last 10 years in the field of lung
ultrasound (LUS), a multidisciplinary panel of international LUS experts from six countries …
ultrasound (LUS), a multidisciplinary panel of international LUS experts from six countries …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
[HTML][HTML] Review of machine learning in lung ultrasound in COVID-19 pandemic
Ultrasound imaging of the lung has played an important role in managing patients with
COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During …
COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During …
[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
[HTML][HTML] Pulmonary COVID-19: learning spatiotemporal features combining CNN and LSTM networks for lung ultrasound video classification
B Barros, P Lacerda, C Albuquerque, A Conci - Sensors, 2021 - mdpi.com
Deep Learning is a very active and important area for building Computer-Aided Diagnosis
(CAD) applications. This work aims to present a hybrid model to classify lung ultrasound …
(CAD) applications. This work aims to present a hybrid model to classify lung ultrasound …
State of the art in lung ultrasound, shifting from qualitative to quantitative analyses
Lung ultrasound (LUS) has been increasingly expanding since the 1990s, when the clinical
relevance of vertical artifacts was first reported. However, the massive spread of LUS is only …
relevance of vertical artifacts was first reported. However, the massive spread of LUS is only …
[HTML][HTML] Recent advances in machine learning applied to ultrasound imaging
M Micucci, A Iula - Electronics, 2022 - mdpi.com
Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …
because of their capacity to effectively solve a wide variety of challenging problems. The …
COVIDx-US--An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
The COVID-19 pandemic continues to have a devastating effect on the health and well-
being of the global population. Apart from the global health crises, the pandemic has also …
being of the global population. Apart from the global health crises, the pandemic has also …
Quantitative analysis of pleural line and B-lines in lung ultrasound images for severity assessment of COVID-19 pneumonia
Y Wang, Y Zhang, Q He, H Liao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Specific patterns of lung ultrasound (LUS) images are used to assess the severity of
coronavirus disease 2019 (COVID-19) pneumonia, while such assessment is mainly based …
coronavirus disease 2019 (COVID-19) pneumonia, while such assessment is mainly based …
[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 …