Classification of Lung Opacity, COVID-19, and Pneumonia from Chest Radiography Images Based on Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Classification of Lung Opacity, COVID-19, and Pneumonia from Chest Radiography Images Based on Convolutional Neural Networks

Published:2021-12-16 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Author:

Wibowo Ferry Wahyu^ORCID,Wihayati ^ORCID

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9702758/9702759/09702841.pdf?arnumber=9702841

Reference28 articles.

1. The effect of age on the clinical and immune characteristics of critically ill patients with COVID-19: A preliminary report

2. Meta-analysis: COVID-19 diagnosis in chest CT—master key for radiologists

3. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

4. Comparing CT scan and chest X-ray imaging for COVID-19 diagnosis

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features;Sensors;2024-04-29

2. Performances of Chimpanzee Leader Election Optimization and K-Means in Multilevel Color Image Segmentation;2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2023-12-11

3. A Survey of Deep Learning Techniques Based on Computed Tomography Images for Detection of Pneumonia;II International Congress on the Technology and Innovation in Engineering and Computing;2023-08-10

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