Diagnosis of COVID-19 from X-ray images using deep learning techniques-Reference-Cited by-同舟云学术

Diagnosis of COVID-19 from X-ray images using deep learning techniques

Published:2022-09-29 Issue:1 Volume:9 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Alghamdi Maha Mesfer Meshref¹^ORCID,Dahab Mohammed Yehia Hassan²

Affiliation:

1. Computer Science & Engineering Department, King Saud University, Riyadh, Saudi Arabia

2. Computer Science and Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2124635

Reference107 articles.

1. AAAA. XXXXf. “GitHub - agchung/Figure1-COVID-chestxray-dataset: Figure 1 COVID-19 Chest X-ray Dataset Initiative.” https://github.com/agchung/Figure1-COVID-chestxray-dataset.

2. AAAA. XXXXg. “GitHub - agchung/Actualmed-COVID-chestxray-dataset: Actualmed COVID-19 Chest X-ray Dataset Initiative.” https://github.com/agchung/Actualmed-COVID-chestxray-dataset.

3. AAAAA. XXXX. “Italian Society of Medical and interventional radiology: COVID-19 DATABASE - SIRM.” https://sirm.org/category/covid-19/.

4. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

5. ACR. 2020. “American College of Radiology. ACR recommendations for the use of chest radiography and computed tomography (CT) for suspected COVID-19 infection.” https://www.acr.org/Advocacy-and-Economics/ACR-Pos.

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