Performance of Optimization Techniques in the Deep Learning Approach for Classification of Covid-19 Pneumonia-Reference-Cited by-同舟云学术

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Performance of Optimization Techniques in the Deep Learning Approach for Classification of Covid-19 Pneumonia

Published:2023-10-18 Issue: Volume:1212 Page:1-5
ISSN:
Container-title:2023 IEEE 9th Information Technology International Seminar (ITIS)
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Author:

Nugroho Budi¹,Yuniarti Anny²

Affiliation:

1. Universitas Pembangunan Nasional “Veteran” Jawa Timur,Faculty of Computer Science,Department of Informatics,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology,Department of Informatics,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419870/10419872/10420082.pdf?arnumber=10420082

Reference25 articles.

1. Hybrid deep learning for detecting lung diseases from X-ray images

2. Imaging of Community-acquired Pneumonia

3. Efficient GAN-based Chest Radiographs (CXR) augmentation to diagnose coronavirus disease pneumonia

4. Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

5. Chest x-ray findings and temporal lung changes in patients with COVID-19 pneumonia

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