Improved Deep Learning with Metaheuristics Driven COVID-19 Diagnosis on Chest X-Ray Images-Reference-Cited by-同舟云学术

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Improved Deep Learning with Metaheuristics Driven COVID-19 Diagnosis on Chest X-Ray Images

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Engineering Technology and its Applications (IICETA)
language:
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Author:

Alkhafaij Mahdi Abdulkhudur¹,Oleiwi A. Sahib²,Ali Rabei Raad³,Ali Eyhab⁴,Al-Tahee Mustafa⁵,Almusawi Muntather⁶

Affiliation:

1. College of MLT, Ahl Al Bayt University,Karbala,Iraq

2. Altoosi University College,Najaf,Iraq

3. National University of Science and Technology,Dhi Qar,Iraq

4. Al-Zahraa University for Women,Karbala,Iraq

5. Medical Technical College, Al-Farahidi University,Baghdad,Iraq

6. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351190/10351191/10351403.pdf?arnumber=10351403

Reference24 articles.

1. COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings

2. Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray

3. A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images

4. Covid-19 screening on chest x-ray images using deep learning based anomaly detection;Zhang;arXiv preprint,2020

5. A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images

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