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
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
IC-AIRCM-T3-2026
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 2
March-April 2026
Indexing Partners
A Deep Learning Algorithm to Detect Covid-19 from Lung X-ray Images
| Author(s) | V.Supriya, K.Neelima |
|---|---|
| Country | India |
| Abstract | Covid-19 Predictive Model Using Deep Learning algorithm on X-Ray images of different patients. The individuals have been infected with the virus in the recent years due to large population spreading of covid- 19 virus has increased, A real-time reverse transcriptase- polymerase chain reaction (RT-PCR) kit serves to identify the illness. This project provides another solution by implementing a model that distingue, the covid and normal patients by using lung X-Ray images. In this project we consider the following three dataset such as coronavirus pneumonia (NCP) contaminated by SARS-COV-2, common pneumonia (CP) and normal control to implement the deep learning model during predicting covid-19. These model gives better accuracy and efficiency in anticipating covid-19 infection. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 6, Issue 5, September-October 2024 |
| Published On | 2024-10-29 |
| DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.29618 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
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.
Powered by Sky Research Publication and Journals