Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine-Reference-Cited by-同舟云学术

Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine

Published:2021-03 Issue: Volume:90 Page:106960
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Khan Muhammad Attique,Kadry Seifedine,Zhang Yu-Dong,Akram Tallha,Sharif Muhammad,Rehman Amjad,Saba Tanzila

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference33 articles.

1. COVID-19 Coronavirus Pandemic,2020

2. Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT;Li;Radiology,2020

3. D. A. K. P. S. a. D. D. J. B. et al., "COVID-19 (https://radiopaedia.org/articles/covid-19-3)," 2020.

4. L. Wang and A. Wong, "Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images," arXiv preprint arXiv:2003.09871,2020.

5. Multi-task Deep Learning Based CT Imaging Analysis For COVID-19: Classification and Segmentation;Amyar;medRxiv,2020

Cited by 110 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Facial Emotion Recognition (FER) using Machine Learning and Deep Learning Methods;International Journal of Advanced Research in Science, Communication and Technology;2024-08-01

2. ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection;Neural Computing and Applications;2024-07-24

3. Efficient Deep Learning Approach for the Classification of Pneumonia in Infants from Chest X-Ray Images;Traitement du Signal;2024-06-26

4. Triple Diseases Prediction System using Deep Learning Techniques;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

5. Non-invasive prediction mechanism for COVID-19 disease using machine learning algorithms;International Journal of Critical Infrastructures;2024