International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

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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