Related references
Note: Only part of the references are listed.A Deep Neural Network to Distinguish COVID-19 from other Chest Diseases Using X-ray Images
Saleh Albahli
CURRENT MEDICAL IMAGING (2021)
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas et al.
APPLIED INTELLIGENCE (2021)
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
Lin Li et al.
RADIOLOGY (2020)
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
Ali Abbasian Ardakani et al.
COMPUTERS IN BIOLOGY AND MEDICINE (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-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
Linda Wang et al.
SCIENTIFIC REPORTS (2020)
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
Luca Brunese et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (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)
Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses
Jooae Choe et al.
RADIOLOGY (2019)
Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography
Thi Kieu Khanh Ho et al.
APPLIED SCIENCES-BASEL (2019)
Fully automatic segmentation of 4D MRI for cardiac functional measurements
Yan Wang et al.
MEDICAL PHYSICS (2019)
Artificial neural networks in medicine
Jack M. Haglin et al.
HEALTH AND TECHNOLOGY (2019)