Paper Title :Covid-19 Detection System Using Deep Learning
Author :Aniket Kumar Patel, Abhinav Singh, Anshuman Shukla, Archana Das
Article Citation :Aniket Kumar Patel ,Abhinav Singh ,Anshuman Shukla ,Archana Das ,
(2024 ) " Covid-19 Detection System Using Deep Learning " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 43-48,
Volume-12,Issue-7
Abstract : Artificial Intelligence plays a crucial role in the accurate identification and diagnosis of diseases. With the
advancement in Machine learning and computing power, a Disease Detection System is a system which can assert a
possibility of multiple diseases based on images and data provided. The major challenges in the medical field can be solved
and help for fast, accurate and automated disease detection systems. Machine learning refers to the process of training a
system to learn from previous experiences in order to enhance prediction. In this study, prediction algorithms and models
such as Random Forest, Support Vector Machine, CNN, XGBoost, VGG, RESNET, DENSENET, and many others are tested
and their performance is described in terms of error and accuracy level.
Keywords - CNN, XGBoost, VGG, Random Forest, DENSENET, Support Vector Machine, VGG, RES
Type : Research paper
Published : Volume-12,Issue-7
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-21096
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Copyright: © Institute of Research and Journals
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Published on 2024-10-17 |
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