A Review on Deep Learning Based Automated Pneumonia Detection using X-ray images

Author(s)	Achyuta, Tejas Y S, Darshan H K, Chirag G C, Jagadeesh B
Country	India
Abstract	This paper provides a comprehensive literature survey on the application of various deep learning models for pneumonia detection using chest X-ray images. It reviews numerous studies that propose different architectures and techniques aimed at enhancing detection accuracy and efficiency. The survey covers the use of methods such as transfer learning and ensemble techniques to mitigate data scarcity and augment model performance. It also discusses the development of advanced algorithms for the precise identification and localization of pneumonia indications. Despite promising results, the survey acknowledges persisting challenges, including the need for high accuracy in medical testing and the limited availability of annotated medical images. This review underscores the transformative potential of deep learning in pneumonia detection and identifies areas for future research.
Keywords	Algorithm, Deep Learning, Performance, Pneumonia, Research, Survey, X-ray images.
Field	Medical / Pharmacy
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-14
Cite This	A Review on Deep Learning Based Automated Pneumonia Detection using X-ray images - Achyuta, Tejas Y S, Darshan H K, Chirag G C, Jagadeesh B - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20177
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.20177
Short DOI	https://doi.org/gtt8tj

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