International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 3
May-June 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Cardiomegaly Prediction Using Transfer Learning

Author(s) Ms. Samridhi Sharma, Mr. Ayush Jawla, Mr. Ayush Baliyan, Mr. Ayush Sharma, Sristhi Vashisth
Country India
Abstract The condition of having an
enlarged heart, termed as cardiomegaly, is
an important disease that is closely
associated with cardiovascular diseases. An
early and correct diagnosis is very important
in order to prevent any further complications
and to ensure a better prognosis for the
patients. Chest X-ray manual diagnosis can
be lengthy and is susceptible to human error,
thus justifying the implementation of
automated systems. The present study seeks
to employ deep learning techniques in the
form of Dense Net and Efficient Net to
detect and predict cardiomegaly on cardiac
X-ray images.
Keywords Cardiomegaly, Efficient Net, Dense Net, Deep Learning, Chest X ray, Medical Diagnosis, Transfer Learning.
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-11
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com