New approach based on light enhancement and real-time dual CNN for classification of COVID-19 X-ray images

[1]  E. Avşar,et al.  COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks , 2023, Network Modeling Analysis in Health Informatics and Bioinformatics.

[2]  Sudipta Roy,et al.  Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine , 2022, Diagnostics.

[3]  Pailla Balakrishna Reddy,et al.  Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray , 2022, Comput. Biol. Medicine.

[4]  Karrar Hameed Abdulkareem,et al.  Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model , 2022, Computational intelligence and neuroscience.

[5]  N. Veeranjaneyulu,et al.  Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks , 2022, Materials Today: Proceedings.

[6]  Jingyao Liu,et al.  Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images , 2022, Biomedical Signal Processing and Control.

[7]  J. Agushaka,et al.  Dwarf Mongoose Optimization Algorithm , 2022, Computer Methods in Applied Mechanics and Engineering.

[8]  Navid Razmjooy,et al.  Nerve optic segmentation in CT images using a deep learning model and a texture descriptor , 2022, Complex & Intelligent Systems.

[9]  E. Avşar,et al.  Stacked Cross Validation with Deep Features , 2022, Tehnički glasnik.

[10]  A. Gandomi,et al.  Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer , 2021, Expert Syst. Appl..

[11]  Jamal N. Hasoon,et al.  COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images , 2021, Results in Physics.

[12]  Safa Ben Atitallah,et al.  Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images , 2021, Int. J. Imaging Syst. Technol..

[13]  Amir H. Gandomi,et al.  The Arithmetic Optimization Algorithm , 2021, Computer Methods in Applied Mechanics and Engineering.

[14]  Dalia Yousri,et al.  Aquila Optimizer: A novel meta-heuristic optimization algorithm , 2021, Comput. Ind. Eng..

[15]  Huanlai Xing,et al.  RTFN: A Robust Temporal Feature Network for Time Series Classification , 2020, Inf. Sci..

[16]  Mohammad Khalid Pandit,et al.  Automatic detection of COVID-19 from chest radiographs using deep learning , 2020, Radiography.

[17]  Zhigang Liu,et al.  Computer-aided breast cancer diagnosis based on image segmentation and interval analysis , 2020, Automatika.

[18]  N. Mehendale,et al.  Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening , 2020, SN Computer Science.

[19]  Antonella Santone,et al.  Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays , 2020, Computer Methods and Programs in Biomedicine.

[20]  Mohamed Samir Boudrioua COVID-19 Detection from Chest X-ray Images using CNNs Models: Further Evidence from Deep Transfer Learning , 2020, Journal of Respiratory Infections.

[21]  Abolfazl Zargari Khuzani,et al.  Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms , 2020, ArXiv.

[22]  Shadman Q. Salih,et al.  Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images , 2020 .

[23]  Sonali Agarwal,et al.  Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks , 2020, Applied Intelligence.

[24]  Kevin A. Schneider,et al.  Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach , 2020, Biocybernetics and Biomedical Engineering.

[25]  Milan Sonka,et al.  Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning , 2020, Medical Image Analysis.

[26]  Lucas S. Folio,et al.  Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays , 2020, IEEE Access.

[27]  Eduardo José da S. Luz,et al.  Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images , 2020, Research on Biomedical Engineering.

[28]  Asif Iqbal Khan,et al.  CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images , 2020, Computer Methods and Programs in Biomedicine.

[29]  Mohamed Medhat Gaber,et al.  Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network , 2020, Applied Intelligence.

[30]  Ioannis D. Apostolopoulos,et al.  Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks , 2020, Physical and Engineering Sciences in Medicine.

[31]  Ali Narin,et al.  Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks , 2020, Pattern Analysis and Applications.

[32]  A. Wong,et al.  COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images , 2020, Scientific Reports.

[33]  Jose Luis Lisani,et al.  Simplest Color Balance , 2011, Image Process. Line.

[34]  J. A. Stephen Viggiano,et al.  Comparison of the accuracy of different white-balancing options as quantified by their color constancy , 2004, IS&T/SPIE Electronic Imaging.

[35]  Mohammed Anbar,et al.  COVID-19 Automatic Detection Using Deep Learning , 2021, Computer systems science and engineering.