Novel feature selection and voting classifier algorithms for COVID-19 classification in CT images
Diagnosis is a critical preventive step in Coronavirus research which has similar
manifestations with other types of pneumonia. CT scans and X-rays play an important role in …
manifestations with other types of pneumonia. CT scans and X-rays play an important role in …
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization
The coronavirus outbreak 2019, called COVID-19, which originated in Wuhan, negatively
affected the lives of millions of people and many people died from this infection. To prevent …
affected the lives of millions of people and many people died from this infection. To prevent …
Advanced meta-heuristics, convolutional neural networks, and feature selectors for efficient COVID-19 X-ray chest image classification
The chest X-ray is considered a significant clinical utility for basic examination and
diagnosis. The human lung area can be affected by various infections, such as bacteria and …
diagnosis. The human lung area can be affected by various infections, such as bacteria and …
[HTML][HTML] OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19
The quick spread of coronavirus disease (COVID-19) has become a global concern and
affected more than 15 million confirmed patients as of July 2020. To combat this spread …
affected more than 15 million confirmed patients as of July 2020. To combat this spread …
[HTML][HTML] A bi-stage feature selection approach for COVID-19 prediction using chest CT images
The rapid spread of coronavirus disease has become an example of the worst disruptive
disasters of the century around the globe. To fight against the spread of this virus, clinical …
disasters of the century around the globe. To fight against the spread of this virus, clinical …
Coronavirus (COVID-19) classification using deep features fusion and ranking technique
COVID-19, which appeared towards the end of 2019, has become a huge threat to public
health. The solution to this threat, which is defined as a global epidemic by the World Health …
health. The solution to this threat, which is defined as a global epidemic by the World Health …
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause severe ailments in …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause severe ailments in …
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
NA Baghdadi, A Malki, SF Abdelaliem… - Computers in biology …, 2022 - Elsevier
Researchers have developed more intelligent, highly responsive, and efficient detection
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
[HTML][HTML] Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm
Currently, the world is still facing a COVID-19 (coronavirus disease 2019) classified as a
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
[HTML][HTML] Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …