Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images-Reference-Cited by-同舟云学术

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Published:2021-07 Issue: Volume:68 Page:102622
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Sharifrazi Danial,Alizadehsani Roohallah,Roshanzamir Mohamad,Joloudari Javad Hassannataj^ORCID,Shoeibi Afshin,Jafari Mahboobeh,Hussain Sadiq^ORCID,Sani Zahra Alizadeh,Hasanzadeh Fereshteh,Khozeimeh Fahime,Khosravi Abbas,Nahavandi Saeid,Panahiazar Maryam,Zare Assef,Islam Sheikh Mohammed Shariful,Acharya U. Rajendra

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference59 articles.

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3. Risk factors prediction, clinical outcomes, and mortality of COVID-19 patients;Alizadehsani;medRxiv,2020

4. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study;Chen;Lancet,2020

5. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China;Wang;JAMA,2020

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