CNN based Covıd -19 Pneumonıa Classıfıcatıon
S.Irin Sherly
, C.A.Abirami , K.Devipriya , S.Dharani
Covid-19, pneumonia, deep learning, TensorFlow, CNN
The symptoms of COVID-19 pneumonia could resemble those of other viral pneumonia. As a result, it
may challenging to determine the root of your disease without testing for COVID-19 or other respiratory
infections. To ascertain the differences between COVID-19 pneumonia and other kinds of pneumonia. Since the
COVID-19 pandemic broke out, researchers from all over the world have concentrated on leveraging artificial
intelligence (AI) technology on different medical data of COVID-19- positive patients to identify or classify
different elements of the disease, with promising reported findings. These research findings may aid in diagnosis
and contribute to our growing understanding of how SARS-CoV-2 affects the lungs. We offer a Convolutional
Neural Network based Covid-19 pneumonia classification using TensorFlow and Keras. The suggested
technique is based on CNN and classifies Covid-19, normal, and pneumonia using images of pneumonia. If more
feature extraction techniques are included to support the CNN method and correctly classify COVID-
19&pneumonia, it is projected that the success of the results would grow. We have shown that applying deep
CNN to photos can be effective and useful.
"CNN based Covıd -19 Pneumonıa Classıfıcatıon", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.7-13, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001002.pdf
Volume 11
Issue 2,
February-2024
Pages : 7-13
Paper Reg. ID: TIJER_150954
Published Paper Id: TIJERB001002
Downloads: 000279
Research Area: Science and Technology
Country: THIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
