Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease

Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases

(2021) Dina M. Ibrahim et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19

(2021) Muhammad Irfan et al.   International Journal of Environmental Research and Public Health

COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images

(2021) Ghulam Muhammad et al.   Information Fusion

Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques

(2021) Ebrahime Mohammed Senan et al.   Journal of Healthcare Engineering

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

(2020) Tao Ai et al.   RADIOLOGY

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

(2020) Ioannis D. Apostolopoulos et al.   Journal of Medical and Biological Engineering

Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning

(2020) Mohamed Loey et al.   Symmetry-Basel

Impact of the Prevalence on the Predictive Positive Value of Chest CT in the Diagnosis of Coronavirus Disease (COVID-19)

(2020) Guillaume Herpe et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

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

Chest-X-ray is a mainstay for follow-up in critically ill patients with covid-19 induced pneumonia

(2020) Olivier de Barry et al.   EUROPEAN JOURNAL OF RADIOLOGY

A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images

(2020) Qianqian Ni et al.   EUROPEAN RADIOLOGY

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

(2020) Hoon Ko et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network

(2020) Shui-Hua Wang et al.   Information Fusion

Fractured aluminum nasopharyngeal swab during drive-through testing for COVID-19: radiographic detection of a retained foreign body

(2020) Antoine Azar et al.   SKELETAL RADIOLOGY

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT

(2020) Liang Sun et al.   IEEE Journal of Biomedical and Health Informatics

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

(2020) S. Tabik et al.   IEEE Journal of Biomedical and Health Informatics

Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble

(2020) Tej Bahadur Chandra et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Convolutional neural network approach for automatic tympanic membrane detection and classification

(2019) Erdal Başaran et al.   Biomedical Signal Processing and Control

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

(2018) Guotai Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

UP-CNN: Un-pooling augmented convolutional neural network

(2017) Chunyan Xu et al.   PATTERN RECOGNITION LETTERS