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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Pneumonia Detection using Transfer Learning |
| Authors Name: | Yasaswini Madineni , Divya Gannamaneni , Tanuja Yeete , Abhinav Bhushan , Mahitha G |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_190150
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| Published Paper Id: | IJNRD2305310 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Pneumonia is a common respiratory disease that affects millions of people worldwide, with serious consequences for vulnerable populations such as children under 5 years of age, elderly adults, and those with weakened immune systems. Early detection is crucial for effective treatment and improved patient outcomes. However, diagnosing pneumonia can be challenging for radiologists due to the similarity of its symptoms with those of other diseases. To address this issue, recent studies have shown the potential of deep learning approaches in achieving higher prediction accuracy than traditional radiological methods. In this context, we propose a systematic model for pneumonia detection and classification based on deep transfer learning. Our model is trained on digital chest X-ray images and aims to accurately detect pneumonic lungs while further classifying the type of pneumonia (viral or bacterial). The proposed model has significant potential in improving the accuracy and efficiency of pneumonia diagnosis, benefiting medical professionals and patients alike. By detecting pneumonia at an early stage, we can reduce the severity of the disease and prevent complications, ultimately saving lives. |
| Keywords: | pneumonia, bacterial ,viral, transfer learning, ResNet50V2, DenseNet201, VGG 16, MobileNetV2 |
| Cite Article: | "Pneumonia Detection using Transfer Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d72-d75, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305310.pdf |
| Downloads: | 000118751 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2305310 Registration ID: 190150 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: d72-d75 Country: Bengaluru, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305310 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305310 |
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ISSN: 2456-4184
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