A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks-Reference-Cited by-同舟云学术

A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks

Published:2021-02 Issue: Volume:545 Page:403-414
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Varela-Santos Sergio,Melin Patricia^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

1. A. Altan, S. Karasu, Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique, Chaos Solitons Fract. Nonlinear Sci. Nonequilib. Complex Phenom. 140 (2020) Article no. 110071, pp. 1–10.

2. A. Eleyan, H. Demirel, Co-occurrence based statistical approach for face recognition, in: 2009 24th International Symposium on Computer and Information Sciences, 2009, pp. 611–615

3. Computer-aided diagnosis in chest radiography: a survey;Ginneken;IEEE Trans. Med. Imag.,2001

4. Coronavirus disease 2019 (COVID-19) CT findings: a systematic review and meta-analysis;Bao;J. Am. College Radiol.,2020

5. Center of Disease Control, 2020. CDC 2019-Novel Coronavirus (2019-nCoV) Real-Time RT-PCR Diagnostic Panel. Accessed on April 2020, https://www.fda.gov/media/134922/download

Cited by 130 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 systematic survey of fuzzy deep learning for uncertain medical data;Artificial Intelligence Review;2024-08-05

2. Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning;Neural Computing and Applications;2024-08-01

3. Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models;International Journal of Neural Systems;2024-04-17

4. A Modified Deep Learning Framework For Reducing Covid-19 Radiography Pictures of Chest Pop;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

5. Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information;Expert Systems with Applications;2024-03