Automated COVID‐19 detection in chest X‐ray images using fine‐tuned deep learning architectures-Reference-Cited by-同舟云学术

Automated COVID‐19 detection in chest X‐ray images using fine‐tuned deep learning architectures

Published:2021-06-10 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Aggarwal Sonam¹^ORCID,Gupta Sheifali¹,Alhudhaif Adi²^ORCID,Koundal Deepika³,Gupta Rupesh¹,Polat Kemal⁴^ORCID

Affiliation:

1. Chitkara University Institute of Engineering and Technology Chitkara University Chandigarh Punjab India

2. Department of Computer Science, College of Computer Engineering and Sciences in Al‐kharj Prince Sattam Bin Abdulaziz University Al‐Kharj Saudi Arabia

3. Department of Virtualization School of Computer Science Dehradun Uttarakhand India

4. Department of Electrical and Electronics Engineering, Faculty of Engineering Bolu Abant Izzet Baysal University Bolu Turkey

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12749

Reference45 articles.

1. Abbas A. Abdelsamea M. M. &Gaber M. M.(2020).Classification of COVID‐19 in chest X‐ray images using DeTraC deep convolutional neural network. arXiv preprint arXiv:2003.13815.

2. Bengio Y.(2012).Deep learning of representations for unsupervised and transfer learning. In Proceedings of ICML workshop on unsupervised and transfer learning (pp. 17–36).

3. Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images

4. Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition

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