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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 22189
Article Published : 8705
Total Authors : 22904
Total Reviewer : 820
Total Countries : 161
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| Paper Title: | PNUEMONIA DETECTION USING CNN |
| Authors Name: | Aakash S , Dhanushkumar T K , Monishram B , Vikrant B , Tamilselvan A |
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IJRTI_202175
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| Published Paper Id: | IJRTI2504086 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Pneumonia is an infectious disease caused by bacterial contamination in the alveoli of the lungs. When the lung tissue becomes infected, pus accumulates, leading to severe complications. To diagnose pneumonia, medical professionals use chest X-rays, ultrasounds, or lung biopsies. However, misdiagnosis and erroneous treatments can lead to life-threatening consequences. Advancements in deep learning have significantly improved diagnostic accuracy in medical imaging. This study explores an efficient approach using Convolutional Neural Networks (CNNs) to predict and detect pneumonia from chest X-ray images. A dataset of 20,000 X-ray images, each with a resolution of 224×224 pixels, was used for training the model with a batch size of 32. The trained CNN model achieved an accuracy of 95% during performance evaluation. The results demonstrate that the proposed deep learning model can effectively classify bacterial and viral pneumonia, including COVID-19, solely based on chest X-ray images. This study highlights the potential of AI-assisted diagnostics in improving early detection and treatment planning for pneumonia. |
| Keywords: | X-ray Image Analysis,Deep Learning,CNN Algorithm,Medical Imaging,Disease Detection |
| Cite Article: | "PNUEMONIA DETECTION USING CNN", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 4, page no.a671-a675, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504086.pdf |
| Downloads: | 000448 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504086
Registration ID:202175
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a671-a675 Country: Coimbatore, Tamil Nadu, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504086 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504086 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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