Related references
Note: Only part of the references are listed.Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas et al.
APPLIED INTELLIGENCE (2021)
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Rachna Jain et al.
APPLIED INTELLIGENCE (2021)
Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm
Xiuzhen Cai et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2021)
MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray
Yu-Dong Zhang et al.
PATTERN RECOGNITION LETTERS (2021)
Diagnostics for SARS-CoV-2 infections
Bhavesh D. Kevadiya et al.
NATURE MATERIALS (2021)
COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning
Nur-A-Alam et al.
SENSORS (2021)
Deep Fractional Max Pooling Neural Network for COVID-19 Recognition
Shui-Hua Wang et al.
FRONTIERS IN PUBLIC HEALTH (2021)
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
Yicheng Fang et al.
RADIOLOGY (2020)
Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
Mohamed Loey et al.
SYMMETRY-BASEL (2020)
Artificial intelligence-enabled rapid diagnosis of patients with COVID-19
Xueyan Mei et al.
NATURE MEDICINE (2020)
Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
Adam Jacobi et al.
CLINICAL IMAGING (2020)
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Tulin Ozturk et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
COVID-19 Testing: The Threat of False -Negative Results
Colin P. West et al.
MAYO CLINIC PROCEEDINGS (2020)
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
Shervin Minaee et al.
MEDICAL IMAGE ANALYSIS (2020)
COVID-19 image classification using deep features and fractional-order marine predators algorithm
Ahmed T. Sahlol et al.
SCIENTIFIC REPORTS (2020)
Computer-aided diagnosis of skin cancer based on soft computing techniques
Zhiying Xu et al.
OPEN MEDICINE (2020)
Detection of COVID-19 from Chest X-Ray Images Using Convolutional Neural Networks
Boran Sekeroglu et al.
SLAS TECHNOLOGY (2020)
An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images
Dingding Wang et al.
PLOS ONE (2020)
Deep Learning for The Detection of COVID-19 Using Transfer Learning and Model Integration
Ningwei Wang et al.
PROCEEDINGS OF 2020 IEEE 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2020) (2020)
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images
Nihad K. Chowdhury et al.
HEALTH INFORMATION SCIENCE AND SYSTEMS (2020)
COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings
Mohd Zulfaezal Che Azemin et al.
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING (2020)
A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images
Irfan Ullah Khan et al.
INFORMATION (2020)
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
Ioannis D. Apostolopoulos et al.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2020)
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury et al.
IEEE ACCESS (2020)
Deep convolutional neural network based medical image classification for disease diagnosis
Samir S. Yadav et al.
JOURNAL OF BIG DATA (2019)
Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine
Yuan-Hao Chan et al.
JOURNAL OF HEALTHCARE ENGINEERING (2018)
A hybrid neural network - world cup optimization algorithm for melanoma detection
Navid Razmjooy et al.
OPEN MEDICINE (2018)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
Marios Anthimopoulos et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Computer-based detection of diabetes retinopathy stages using digital fundus images
U. R. Acharya et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE (2009)
Improved cancer detection using computer-aided detection with diagnostic and screening mammography: Prospective study of 104 cancers
Judy C. Dean et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2006)
Share Paper
