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] 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 …
worldwide, especially in underdeveloped countries. There is a clear need to develop novel …
[HTML][HTML] Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach
B VanBerlo, D Wu, B Li, MA Rahman, G Hogg… - Computers in biology …, 2022 - Elsevier
Pneumothorax is a potentially life-threatening condition that can be rapidly and accurately
assessed via the lung sliding artefact generated using lung ultrasound (LUS). Access to LUS …
assessed via the lung sliding artefact generated using lung ultrasound (LUS). Access to LUS …
[HTML][HTML] Artificial intelligence in medical ultrasonography: driving on an unpaved road
YH Kim - Ultrasonography, 2021 - ncbi.nlm.nih.gov
Recent advances in deep-learning technology have brought revolutionary changes to
artificial intelligence (AI) research and application across industries, yielding major …
artificial intelligence (AI) research and application across industries, yielding major …
Detecting the absence of lung sliding in lung ultrasounds using deep learning
Certain post-thoracic surgery complications are monitored in a standard manner using
methods that employ ionising radiation. A need to automatise the diagnostic procedure has …
methods that employ ionising radiation. A need to automatise the diagnostic procedure has …
XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images
Global livelihoods are impacted by the novel coronavirus (COVID-19) disease, which mostly
affects the respiratory system and spreads via airborne transmission. The disease has …
affects the respiratory system and spreads via airborne transmission. The disease has …
Applications of Deep Learning Algorithms to Ultrasound Imaging Analysis in Preclinical Studies on In Vivo Animals
Background and Aim: Ultrasound (US) imaging is increasingly preferred over other more
invasive modalities in preclinical studies using animal models. However, this technique has …
invasive modalities in preclinical studies using animal models. However, this technique has …
Lung ultrasound for point-of-care COVID-19 pneumonia stratification: computer-aided diagnostics in a smartphone. First experiences classifying semiology from public …
Lung ultrasound (LUS) has demonstrated potential in managing pneumonia patients, and is
actively used at the point-of-care in COVID-19 patient stratification. However, image …
actively used at the point-of-care in COVID-19 patient stratification. However, image …
Self-supervised enhanced thyroid nodule detection in ultrasound examination video sequences with multi-perspective evaluation
Objective. Ultrasound is the most commonly used examination for the detection and
identification of thyroid nodules. Since manual detection is time-consuming and subjective …
identification of thyroid nodules. Since manual detection is time-consuming and subjective …
Automatic diagnosis of pneumothorax with M-mode ultrasound images based on D-MPL
T Zhang, S Yan, G Wei, L Yang, T Yu, Y Ma - International Journal of …, 2023 - Springer
Purpose To address the difficulties of M-mode ultrasound images classification in
pneumothorax diagnosis and the shortcomings of existing neural network algorithms in this …
pneumothorax diagnosis and the shortcomings of existing neural network algorithms in this …