State of the art in lung ultrasound, shifting from qualitative to quantitative analyses

F Mento, U Khan, F Faita, A Smargiassi… - Ultrasound in Medicine …, 2022 - Elsevier
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 …

[HTML][HTML] Deep-learning based detection of COVID-19 using lung ultrasound imagery

J Diaz-Escobar, NE Ordonez-Guillen… - Plos one, 2021 - journals.plos.org
Background The COVID-19 pandemic has exposed the vulnerability of healthcare services
worldwide, especially in underdeveloped countries. There is a clear need to develop novel …

[HTML][HTML] Accelerating detection of lung pathologies with explainable ultrasound image analysis

J Born, N Wiedemann, M Cossio, C Buhre, G Brändle… - Applied Sciences, 2021 - mdpi.com
Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …

Sonographic diagnosis of COVID-19: A review of image processing for lung ultrasound

C McDermott, M Łącki, B Sainsbury, J Henry… - Frontiers in big …, 2021 - frontiersin.org
The sustained increase in new cases of COVID-19 across the world and potential for
subsequent outbreaks call for new tools to assist health professionals with early diagnosis …

COVID-19 and non-COVID-19 classification using multi-layers fusion from lung ultrasound images

G Muhammad, MS Hossain - Information Fusion, 2021 - Elsevier
COVID-19 or related viral pandemics should be detected and managed without hesitation,
since the virus spreads very rapidly. Often with insufficient human and electronic resources …

Automated lung ultrasound B-line assessment using a deep learning algorithm

C Baloescu, G Toporek, S Kim… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Shortness of breath is a major reason that patients present to the emergency department
(ED) and point-of-care ultrasound (POCUS) has been shown to aid in diagnosis, particularly …

Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results

RJG Van Sloun, L Demi - IEEE journal of biomedical and health …, 2019 - ieeexplore.ieee.org
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and
technical world. Of particular interest are several imaging-artifacts, eg, A-and B-line artifacts …

Automatic pleural line extraction and COVID-19 scoring from lung ultrasound data

L Carrer, E Donini, D Marinelli, M Zanetti… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Recent works highlighted the significant potential of lung ultrasound (LUS) imaging in the
management of subjects affected by COVID-19. In general, the development of objective …

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 …

Deep learning video classification of lung ultrasound features associated with pneumonia

DE Shea, S Kulhare, R Millin… - Proceedings of the …, 2023 - openaccess.thecvf.com
Ultrasound (US) imaging holds promise as a low-cost versatile, non-invasive point-of-care
diagnostic modality in low-and middle-income countries (LMICs). Still, lung US can be …