Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting-Reference-Cited by-同舟云学术

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Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting

Published:2023-09-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Ultrasonics Symposium (IUS)
language:
Short-container-title:

Author:

Khan Umair¹,Afrakhteh Sajjad¹,Mento Federico¹,Smargiassi Andrea²,Inchingolo Riccardo²,Tursi Francesco³,Narvena Veronica³,Perrone Tiziano⁴,Iacca Giovanni¹,Demi Libertario¹

Affiliation:

1. University of Trento,Dept. of Information Engineering and Computer Science,Italy

2. Fondazione Policlinico Universitario A. Gemelli IRCCS,Rome, RM,Italy

3. Asst Lodi,UOS Pneumologia di Codogno,Lodi,Italy

4. Humanitas Gavazzeni Bergamo,Dipartimento di Emergenza ed Urgenza,BG,Italy

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306337/10306342/10306694.pdf?arnumber=10306694

Reference20 articles.

1. Deep Learning-Based Classification of Reduced Lung Ultrasound Data From COVID-19 Patients

2. Automatic Scoring of COVID-19 LUS Videos Using Cross-correlation-Based Features Aggregated from Frame-Level Confidence Levels Obtained by a Pre-trained Deep Neural Network

3. Lung Ultrasound in COVID ‐19 and Post‐COVID ‐19 Patients, an Evidence‐Based Approach

4. New international guidelines and consensus on the use of lung ultrasound;demi;Journal of Ultrasound in Medicine,2022

5. A New Lung Ultrasound Protocol Able to Predict Worsening in Patients Affected by Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia

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