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 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

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
Cite This A Deep Learning Algorithm to Detect Covid-19 from Lung X-ray Images - V.Supriya, K.Neelima - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29618
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.29618
Short DOI https://doi.org/g8p2tg

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