Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations-Reference-Cited by-同舟云学术

Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations

Published:2020-09 Issue: Volume:31 Page:101880
ISSN:1572-1000
Container-title:Photodiagnosis and Photodynamic Therapy
language:en
Short-container-title:Photodiagnosis and Photodynamic Therapy

Author:

Qureshi Shahzad Ahmad^ORCID,Rehman Aziz ul^ORCID

Publisher

Elsevier BV

Subject

Pharmacology (medical),Dermatology,Oncology,Biophysics

Reference15 articles.

1. Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review;Ye;Eur. Radiol.,2020

2. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China;Pan;Eur. Radiol.,2020

3. Biophotonic telemedicine for disease diagnosis and monitoring during pandemics: overcoming COVID-19 and shaping the future of healthcare;Nogueira;Photodiagnosis Photodyn. Ther.,2020

4. Biophotonics for pandemic control: large-area infection monitoring and microbial inactivation of COVID-19;Marcelo;Photodiagnosis Photodyn. Ther.,2020

5. The cytokine release syndrome (CRS) of severe COVID-19 and Interleukin-6 receptor (IL-6R) antagonist Tocilizumab may be the key to reduce the mortality;Zhang;Int. J. Antimicrob. Agents,2020

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