The SARS-CoV-2 pandemic has taught us that point-of-care signs quickly or in remote settings are essential. Ultrasound imaging is a fast and common diagnostic tool, which made it a popular choice during the pandemic. Our team implemented a deep learning algorithm with remarkable accuracy (100%) to detect signs of COVID-19 and bacterial pneumonia, which can better assist physicians. GradCAM was employed to examine the outcomes and determine whether the network relied on dependable medical indicators for classification.

Efficient lung ultrasound classification

Ignesti G;Bruno A;Martinelli M;Moroni D
2023

Abstract

The SARS-CoV-2 pandemic has taught us that point-of-care signs quickly or in remote settings are essential. Ultrasound imaging is a fast and common diagnostic tool, which made it a popular choice during the pandemic. Our team implemented a deep learning algorithm with remarkable accuracy (100%) to detect signs of COVID-19 and bacterial pneumonia, which can better assist physicians. GradCAM was employed to examine the outcomes and determine whether the network relied on dependable medical indicators for classification.
2023
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Efficient adaptive ensembling
Lung ultrasound
Computer vision
Telemedicine
Point-of-care testing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/457498
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