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Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

arXiv 2003.11617 ↗First posted 25 Mar 2020eess.IV cs.CV cs.LGcited by 92

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Abstract (arXiv)

In this study, a dataset of X-Ray images from patients with common pneumonia, Covid-19, and normal incidents was utilized for the automatic detection of the Coronavirus. The aim of the study is to evaluate the performance of state-of-the-art Convolutional Neural Network architectures proposed over recent years for medical image classification. Specifically, the procedure called transfer learning was adopted. With transfer learning, the detection of various abnormalities in small medical image datasets is an achievable target, often yielding remarkable results. The dataset utilized in this experiment is a collection of 1427 X-Ray images. 224 images with confirmed Covid-19, 700 images with confirmed common pneumonia, and 504 images of normal conditions are included. The data was collected from the available X-Ray images on public medical repositories. With transfer learning, an overall accuracy of 97.82% in the detection of Covid-19 is achieved.

Key facts. Cited by 92 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2020.

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Citing papers per year: 2021: 40; 2022: 19; 2023: 14; 2024: 10; 2025: 4; 2026: 5.

92 papers.

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  1. 2021EnD: Entangling and Disentangling deep representations for bias correctioncited by 105
  2. 2021CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretationcited by 57
  3. 2022OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Imagescited by 47
  4. 2021COVID-19 Infection Localization and Severity Grading from Chest X-ray Imagescited by 46
  5. 2021Machine learning based disease diagnosis: A comprehensive reviewcited by 30
  6. 2021COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Imagescited by 22
  7. 2021Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantificationcited by 21
  8. 2024Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedurecited by 19
  9. 2021Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray imagescited by 16
  10. 2021Self-supervised deep convolutional neural network for chest X-ray classificationcited by 16
  11. 2022BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Imagescited by 16
  12. 2022Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approachescited by 15
38 more
  1. 2024Comparison of fine-tuning strategies for transfer learning in medical image classificationcited by 14
  2. 2021Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Datacited by 13
  3. 2022A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicroncited by 13
  4. 2021Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpuscited by 12
  5. 2021Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray imagescited by 10
  6. 2021Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptationcited by 10
  7. 2021Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Imagescited by 9
  8. 2021MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attackcited by 9
  9. 2021Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostcited by 8
  10. 2022Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Imagescited by 8
  11. 2021COVID-19 Modeling: A Reviewcited by 7
  12. 2021A novel framework based on deep learning and ANOVA feature selection method for diagnosis of COVID-19 cases from chest X-ray Imagescited by 6
  13. 2022Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factorscited by 6
  14. 2021Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizabilitycited by 5
  15. 2021Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A reviewcited by 5
  16. 2021Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Imagescited by 5
  17. 2022An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographscited by 4
  18. 2022Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBMcited by 4
  19. 2021Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Reviewcited by 3
  20. 2021Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentationcited by 3
  21. 2022Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBMcited by 3
  22. 2024Transfer Learning for Latent Variable Network Modelscited by 3
  23. 2021Machine learning applications for COVID-19: A state-of-the-art reviewcited by 2
  24. 2021COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancingcited by 2
  25. 2021Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Surveycited by 2
  26. 2022Towards Clinical Practice: Design and Implementation of Convolutional Neural Network-Based Assistive Diagnosis System for COVID-19 Case Detection from Chest X-Ray Imagescited by 2
  27. 2022Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learningcited by 2
  28. 2023An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging for High Precision COVID-19 Diagnosticscited by 2
  29. 2023Case Studies on X-Ray Imaging, MRI and Nuclear Imagingcited by 2
  30. 2024MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classificationcited by 2
  31. 2025Optimal Transfer Learning for Missing Not-at-Random Matrix Completioncited by 2
  32. 2025CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classificationcited by 2
  33. 2021Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Networkcited by 1
  34. 2021Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounderscited by 1
  35. 2021Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT imagescited by 1
  36. 2021COVID-19 detection using deep convolutional neural networks and binary-differential-algorithm-based feature selection on X-ray imagescited by 1
  37. 2021Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Imagescited by 1
  38. 2021A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imagingcited by 1

50 most cited of 92 All 92 (JSON)