Effective hybrid deep learning model for <scp>COVID</scp> ‐19 patterns identification using <scp>CT</scp> images-Reference-Cited by-同舟云学术

Effective hybrid deep learning model for COVID ‐19 patterns identification using CT images

Published:2022-05 Issue:10 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Ibrahim Dheyaa Ahmed¹^ORCID,Zebari Dilovan Asaad²^ORCID,Mohammed Hussam J.³^ORCID,Mohammed Mazin Abed⁴^ORCID

Affiliation:

1. Communications Engineering Techniques Department, Information Technology Collage Imam Ja'afar Al‐Sadiq University Baghdad Iraq

2. Department of Computer Science, College of Science Nawroz University Duhok Kurdistan Region Iraq

3. Computer Center University of Anbar Al Anbar Iraq

4. Information systems Department, College of Computer Science and Information Technology University of Anbar Al Anbar Iraq

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.13010

Reference44 articles.

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3. A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation

4. A Deep Belief Network Classification Approach for Automatic Diacritization of Arabic Text

5. Alom M. Z. Rahman M. M. Nasrin M. S. Taha T. M. &Asari V. K.(2020).COVID_MTNet: COVID‐19 detection with multi‐task deep learning approaches. arXiv preprint arXiv:2004.03747.

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