Efficient lung ultrasound classification
Ignesti G., Bruno A., Martinelli M., Moroni D.
Efficient adaptive ensembling Lung ultrasound Computer vision Telemedicine Point-of-care testing
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.
Source: VISMAC 2023 - International Summer School on Machine Vision, Padova, Italy, 04-08/09/2023
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@inproceedings{oai:it.cnr:prodotti:487337,
title = {Efficient lung ultrasound classification},
author = {Ignesti G. and Bruno A. and Martinelli M. and Moroni D.},
booktitle = {VISMAC 2023 - International Summer School on Machine Vision, Padova, Italy, 04-08/09/2023},
year = {2023}
}
0000-0002-9152-8112