A Dual Stage Deep Convolutional Neural Network for Automatic diagnosis of COVID-19 and Pneumonia from Chest CT Images

Abstract:

In the Coronavirus disease-2019 (COVID-19) pandemic, for fast and accurate diagnosis of a large number of patients, besides traditional methods, automated diagnostic tools are now extremely required. In this paper, a deep convolutional neural network (CNN) based scheme is proposed for automated accurate diagnosis of COVID-19 from lung computed tomography (CT) scan images.

Contributors:

Farhan Sadik , E-mail: [email protected]
Ankan Ghosh Dastider; E-mail: [email protected]
Mohseu Rashid Subah, E-mail: [email protected]

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Doi:

https://doi.org/10.1016/j.compbiomed.2022.105806

Cite:

@article{SADIK2022105806, title = {A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images}, journal = {Computers in Biology and Medicine}, pages = {105806}, year = {2022}, issn = {0010-4825}, doi = {https://doi.org/10.1016/j.compbiomed.2022.105806}, url = {https://www.sciencedirect.com/science/article/pii/S0010482522005650}, author = {Farhan Sadik and Ankan Ghosh Dastider and Mohseu Rashid Subah and Tanvir Mahmud and Shaikh Anowarul Fattah}, }