A deep learning semantic segmentation architecture for COVID ‐19 lesions discovery in limited chest CT datasets-Reference-Cited by-同舟云学术

A deep learning semantic segmentation architecture for COVID ‐19 lesions discovery in limited chest CT datasets

Published:2021-05-31 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Khalifa Nour Eldeen M.¹,Manogaran Gunasekaran²³,Taha Mohamed Hamed N.¹^ORCID,Loey Mohamed⁴^ORCID

Affiliation:

1. Department of Information Technology Faculty of Computers & Artificial Intelligence, Cairo University Cairo Egypt

2. University of California Davis California USA

3. College of Information and Electrical Engineering Asia University Taichung Taiwan

4. Department of Computer Science, Faculty of Computers and Artificial Intelligence Benha University Benha Egypt

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.12742

Reference31 articles.

1. Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

2. Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

3. A survey on deep learning techniques for image and video semantic segmentation

4. Gaspari A. Natale E. De Silvestri A. &D'Emilia G.(2020).Effect of measurement uncertainty on artificial vision methods for quality control on composite components.

5. A systematic review and meta-analysis on chloroquine and hydroxychloroquine as monotherapy or combined with azithromycin in COVID-19 treatment

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