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-Reference-Cited by-同舟云学术

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

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Ultrasonics Symposium (IUS)
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Author:

Afrakhteh Sajjad¹,Mento Federico¹,Khan Umair¹,De Rosa Laura¹,Fatima Noreen¹,Azam Zihadul¹,Tursi Francesco²,Smargiassi Andrea³,Inchingolo Riccardo³,Perrone Tiziano⁴,Iacca Giovanni¹,Demi Libertario¹

Affiliation:

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

2. UOS Pneumologia di Codogno, ASST Lodi,Lodi,Italy

3. Fondazione Policlinico Universitario A. Gemelli IRCCS,Dept. of Medical and Surgical Sciences,Rome,Italy

4. IRCCS San Matteo,Dept. of Internal Medicine,Pavia,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9957114/9957143/09957194.pdf?arnumber=9957194

Reference15 articles.

1. Integrating Domain Knowledge into Deep Networks for Lung Ultrasound with Applications to COVID-19;frank;IEEE Transactions on Medical Imaging,2021

2. On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019

3. Lung ultrasound in covid-19 and post-covid-19 patients, an evidence-based approach;demi;Journal of Ultrasound in Medicine,2021

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

5. Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study

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