Covid-19 detection in chest X-ray through random forest classifier using a hybridization of deep CNN and DWT optimized features

Covid-19 detection in chest X-ray through random forest classifier using a hybridization of deep CNN and DWT optimized features

Chest X-ray image contains sufficient information that finds wide-spread applications in diverse disease diagnosis and decision making to assist the medical experts. This paper has proposed an intelligent approach to detect Covid-19 from the chest X-ray image using the hybridization of deep convolut...

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Bibliographic Details
Main Authors: Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, Md. Mahfuz Reza, Mohammad Motiur Rahman
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Covid-19
Convolutional neural network (CNN)
Discrete wavelet transform (DWT)
Minimum redundancy maximum relevance (mRMR)
Recursive feature elimination (RFE)
Random forest classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157820306182

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http://www.sciencedirect.com/science/article/pii/S1319157820306182

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