Such aid of artifacts detection improved the classification performance of the neural network. One encouraging point about these LUS artifacts, such as B-lines, is that though they are related to pathology in various lung diseases, deep learning techniques could identify COVID-19 from other types of pneumonia [96].
Mar 5, 2022
Mar 5, 2022 · has been a popular diagnostic tool due to its unique imaging capability and logistical advantages over chest X-ray and CT.
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Lung ultrasound is a portable, easy to disinfect, low cost and non-invasive tool that can be used to identify lung diseases. Computer-assisted analysis of lung ...
Apr 28, 2022 · In this regard, the lung ultrasound (LUS) technique has been proved invaluable in both the differential diagnosis and the follow-up of COVID-19 ...
Although sonographers have become better versed with lung ultrasound during the COVID-19 pandemic, there still exists a potential problem regarding quantifying ...
Mar 20, 2024 · July 23, 2020 — A new study found that lung ultrasound was highly sensitive for detecting abnormalities in patients with coronavirus disease ( ...
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This invited review is focused on deep learning applications in lung ultrasound imaging of COVID-19 and provides a comprehensive overview of ultrasound systems ...
Lung ultrasound (LUS) has lately been widely used by clinicians and is considered as a promising tool for assessing COVID-19 pneumonia impact on the lungs [5].
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We propose a method for fast and reliable interpretation of lung ultrasound images by use of deep learning, based on the Kinetics-I3D network. Our learned model ...
A Comparative and Extensive Study of Covid 19 Diagnosis using Lung ...
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In this paper, huge efforts have been undertaken to study the road-map of lung ultrasound markers for detecting COVID-19. The detection of abnormal A lines, B ...