Pseudo Zernike Moment and Deep Stacked Sparse Autoencoder for COVID-19 Diagnosis

(Aim) COVID-19 is an ongoing infectious disease. It has caused more than 107.45 m confirmed cases and 2.35 m deaths till 11/Feb/2021. Traditional computer vision methods have achieved promising results on the automatic smart diagnosis. (Method) This study aims to propose a novel deep learning method...

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Bibliographic Details

Published in:	Computers, materials & continua Vol. 69; no. 3; pp. 3145 - 3162
Main Authors:	Zhang, Yu-Dong, Attique Khan, Muhammad, Zhu, Ziquan, Wang, Shui-Hua
Format:	Journal Article
Language:	English
Published:	Henderson Tech Science Press 2021
Subjects:	Computer vision Coronaviruses COVID-19 Data augmentation Diagnosis Feature extraction Infectious diseases Medical imaging Noise Random noise
ISSN:	1546-2226, 1546-2218, 1546-2226
Online Access:	Get full text
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