A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16419-1.pdf
Reference69 articles.
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2. Ahmad J, Saudagar AKJ, Malik KM et al (2022) Disease progression detection via deep sequence learning of successive radiographic scans. Int J Environ Res Public Health 19. https://doi.org/10.3390/ijerph19010480
3. Alhasan M, Hasaneen M (2021) Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic. Comput Med Imaging Graph 91:101933. https://doi.org/10.1016/j.compmedimag.2021.101933
4. Allegra A, Tonacci A, Sciaccotta R et al (2022) Machine learning and deep learning applications in multiple myeloma diagnosis, prognosis, and treatment selection. Cancers 14. https://doi.org/10.3390/cancers14030606
5. Alqudah AM, Qazan S, Masad IS (2021) Artificial Intelligence Framework for Efficient Detection and Classification of Pneumonia Using Chest Radiography Images. J Med Biol Eng 41:599–609. https://doi.org/10.1007/s40846-021-00631-1
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