MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images

Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features

(2020) Ali M. Hasan et al.   Entropy

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

(2020) Mesut Toğaçar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

(2020) Ali Abbasian Ardakani et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated detection of COVID-19 cases using deep neural networks with X-ray images

(2020) Tulin Ozturk et al.   COMPUTERS IN BIOLOGY AND MEDICINE

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

(2020) Ferhat Ucar et al.   MEDICAL HYPOTHESES

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

(2020) Rodolfo M. Pereira et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Fusing fine-tuned deep features for recognizing different tympanic membranes

(2019) Cömert Zafer   Biocybernetics and Biomedical Engineering

Binary grey wolf optimization approaches for feature selection

(2016) E. Emary et al.   NEUROCOMPUTING

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE