COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans

Author:

Bhatele Kirti Raj,Jha Anand,Tiwari Devanshu,Bhatele Mukta,Sharma Sneha,Mithora Muktasha R.,Singhal Stuti

Funder

INDIAN RADIOLOGICAL AND IMAGING ASSOCIATION

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Cited by 12 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. Distribution-based detection of radiographic changes in pneumonia patterns: A COVID-19 case study;Heliyon;2024-08

2. ENHANCED AI SECURITY WITH DWT WATERMARKING AND HYBRID ANOMALY DETECTION FRAMEWORK (HADF);ShodhKosh: Journal of Visual and Performing Arts;2024-05-31

3. Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE)—A Novel DL Model for Image Multi-resolution;Cognitive Computation;2024-05-21

4. Machine Learning for X-ray and CT-based COVID-19 Diagnosis;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

5. A Deep Learning and Artificial Intelligence Technique for COVID-19 Detection in Chest X-rays;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

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