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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM21012
Volume:
7 |
5 |
May 2023
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.
This pneumonia detection system is a computer-aided diagnosis tool that uses deep learning models to detect the disease pneumonia from X-ray images of chest. The method intends to increase pneumonia diagnosis efficiency and accuracy, which might be difficult due to the arbitrary interpretation of medical pictures. Using a dataset of 1,000 chest X-ray pictures, the system performed admirably, obtaining high accuracy of 96% and sensitivity of 97%. The method has the potential to improve patient outcomes by increasing the precision and effectiveness of diagnosing pneumonia disease and by offering a consistent, unbiased examination of medical pictures.
KEYWORDS
Publication Date
5/17/2023
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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