Pneumonia Detection using Transfer Learning

Pneumonia Detection using Transfer Learning

Registration ID: IJNRD_190150

Published ID: IJNRD2305310

DOI: Click Here to Get

Yasaswini Madineni , Divya Gannamaneni , Tanuja Yeete , Abhinav Bhushan , Mahitha G

pneumonia, bacterial ,viral, transfer learning, ResNet50V2, DenseNet201, VGG 16, MobileNetV2

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.

Published Paper   E-Certificate

"Pneumonia Detection using Transfer Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d72-d75, May-2023, Available :https://ijnrd.org/papers/IJNRD2305310.pdf

Volume 8 Issue 5, May-2023

Pages : d72-d75

Paper Reg. ID: IJNRD_190150

Published Paper Id: IJNRD2305310

Downloads: 000121156

Research Area: Computer Science & Technology 

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305310.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305310

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area