Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

(2020) Chaolin Huang et al.   LANCET

Essentials for Radiologists on COVID-19: An Update—Radiology Scientific Expert Panel

(2020) Jeffrey P. Kanne et al.   RADIOLOGY

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

(2020) Michael Chung et al.   RADIOLOGY

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

(2020) Vikash Chouhan et al.   Applied Sciences-Basel

A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer

(2020) Deepak Ranjan Nayak et al.   Biomedical Signal Processing and Control

Using X-ray images and deep learning for automated detection of coronavirus disease

(2020) Khalid El Asnaoui et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

Automated Diagnosis of Multi-class Brain Abnormalities using MRI Images: A Deep Convolutional Neural Network based Method

(2020) Deepak Ranjan Nayak et al.   PATTERN RECOGNITION LETTERS

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

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

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

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

(2020) Yujin Oh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

Brain tumor classification for MR images using transfer learning and fine-tuning

(2019) Zar Nawab Khan Swati et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer

(2019) Mesut Toğaçar et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model

(2019) Mesut Toğaçar et al.   MEDICAL HYPOTHESES

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE