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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM34412
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Pneumonia is among the most prevalent diseases, and due to lack of experts it is difficult to detect. This paper focuses on surveying and comparing the detection of lung disease using different computer-aided techniques used in application to increase the portability and suggests a revised model for detecting pneumonia. In this survey, we also tried to familiarize ourselves with the different image pre- processing techniques used to convert raw X-ray images into standard formats for analysis and detection, machine learning techniques such as CNN, Deep Learning techniques, which is an important phase in accurate pneumonia detection.
KEYWORDS
Publication Date
12/31/45432
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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