Automated detection and forecasting of COVID-19 using deep learning techniques: A review-Reference-Cited by-同舟云学术

Automated detection and forecasting of COVID-19 using deep learning techniques: A review

Published:2024-04 Issue: Volume:577 Page:127317
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Shoeibi Afshin,Khodatars Marjane,Jafari Mahboobeh,Ghassemi Navid,Sadeghi Delaram,Moridian Parisa,Khadem Ali,Alizadehsani Roohallah,Hussain Sadiq,Zare Assef,Sani Zahra Alizadeh,Khozeimeh Fahime,Nahavandi Saeid,Acharya U. Rajendra,Gorriz Juan M.

Publisher

Elsevier BV

Reference480 articles.

1. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster;Chan;Lancet,2020

2. Automatic diagnosis of covid-19 from ct images using cyclegan and transfer learning;Ghassemi;Appl. Soft Comput.,2023

3. Effectiveness of COVID-19 vaccines against SARS-CoV-2 infection with the Delta (B. 1.617. 2) variant: second interim results of a living systematic review and meta-analysis;Harder;1 Jan. 25 August 2021. Eur.,2021

4. Transmission routes of 2019-nCoV and controls in dental practice;Peng;Int. J. Oral. Sci.,2020

5. Pulmonary pathology of early-phase 2019 novel coronavirus (COVID-19) pneumonia in two patients with lung cancer;Tian;J. Thorac. Oncol.,2020

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