A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound

A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound

Context: Efficiently diagnosing COVID-19-related pneumonia is of high clinical relevance. Point-of-care ultrasound allows detecting lung conditions via patterns of artifacts, such as clustered B-lines. Aims: The aim is to classify lung ultrasound videos into three categories: Normal (containing A-li...

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Bibliographic Details
Main Authors: Deepa Krishnaswamy, Salehe Erfanian Ebadi, Seyed Ehsan Seyed Bolouri, Dornoosh Zonoobi, Russell Greiner, Nathaniel Meuser-Herr, Jacob L Jaremko, Jeevesh Kapur, Michelle Noga, Kumaradevan Punithakumar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:International Journal of Noncommunicable Diseases
Subjects:
convolutional neural networks
covid-19
lung ultrasound
video classification
Online Access:http://www.ijncd.org/article.asp?issn=2468-8827;year=2021;volume=6;issue=5;spage=69;epage=75;aulast=Krishnaswamy

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http://www.ijncd.org/article.asp?issn=2468-8827;year=2021;volume=6;issue=5;spage=69;epage=75;aulast=Krishnaswamy

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