two dimensional
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2022 ◽  
Vol 148 ◽  
pp. 107694
Author(s):  
Rajat K. Sinha ◽  
Shubhanshi Sharma ◽  
Saawan Bag ◽  
Sauradeep Kar ◽  
Basudev Lahiri ◽  
...  

2022 ◽  
Vol 13 (1) ◽  
pp. 1-20
Author(s):  
Shui-Hua Wang ◽  
Xin Zhang ◽  
Yu-Dong Zhang

( Aim ) COVID-19 has caused more than 2.28 million deaths till 4/Feb/2021 while it is still spreading across the world. This study proposed a novel artificial intelligence model to diagnose COVID-19 based on chest CT images. ( Methods ) First, the two-dimensional fractional Fourier entropy was used to extract features. Second, a custom deep stacked sparse autoencoder (DSSAE) model was created to serve as the classifier. Third, an improved multiple-way data augmentation was proposed to resist overfitting. ( Results ) Our DSSAE model obtains a micro-averaged F1 score of 92.32% in handling a four-class problem (COVID-19, community-acquired pneumonia, secondary pulmonary tuberculosis, and healthy control). ( Conclusion ) Our method outperforms 10 state-of-the-art approaches.


2022 ◽  
Vol 23 ◽  
pp. 100641
Author(s):  
S. Paul ◽  
S. Sain ◽  
T. Kamilya ◽  
A. Dalui ◽  
P.K. Sarkar ◽  
...  

2022 ◽  
Vol 204 ◽  
pp. 112114
Author(s):  
Mohanapriya Subramani ◽  
Akilan Rajamani ◽  
Vijayakumar Subramaniam ◽  
Mohammad Rafe Hatshan ◽  
Sivalingam Gopi ◽  
...  

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