A Survey on Deep Learning Advances and Emerging Issues in Pneumonia and COVID19 Prediction
Author:
Affiliation:
1. School of Engineering and Digital Sciences, Nazarbayev University,Nur-Sultan,Republic of Kazakhstan
2. College of Engineering and Computer Science, VinUniversity,Hanoi,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9736461/9736469/09736485.pdf?arnumber=9736485
Cited by 4 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. Vision Transformer based ResNet Model for Pneumonia Prediction;2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC);2023-07-06
2. Prediction of Pneumonia using Hybrid Deep CNN and ML Classifiers;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17
3. On the Use of Conventional Neural Networks for COVID-19 Detection in CT-Scan Images: A Comparative Study and Performance Analysis;2022 IEEE International Conference on Big Data (Big Data);2022-12-17
4. On the Trade-off Between Privacy Protection and Data Utility for Chest X-ray Images;2022 International Conference on Advanced Technologies for Communications (ATC);2022-10-20
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