mlsanityData to 7 Oct 2026

Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks

arXiv 2003.10849 ↗First posted 24 Mar 2020eess.IV cs.CV cs.LGcited by 86

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Abstract (arXiv)

The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries, and is approaching approximately 34,986,502 cases worldwide according to the statistics of European Centre for Disease Prevention and Control. There are a limited number of COVID-19 test kits available in hospitals due to the increasing cases daily. Therefore, it is necessary to implement an automatic detection system as a quick alternative diagnosis option to prevent COVID-19 spreading among people. In this study, five pre-trained convolutional neural network based models (ResNet50, ResNet101, ResNet152, InceptionV3 and Inception-ResNetV2) have been proposed for the detection of coronavirus pneumonia infected patient using chest X-ray radiographs. We have implemented three different binary classifications with four classes (COVID-19, normal (healthy), viral pneumonia and bacterial pneumonia) by using 5-fold cross validation. Considering the performance results obtained, it has seen that the pre-trained ResNet50 model provides the highest classification performance (96.1% accuracy for Dataset-1, 99.5% accuracy for Dataset-2 and 99.7% accuracy for Dataset-3) among other four used models.

Key facts. Cited by 86 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Mar 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 42; 2022: 16; 2023: 13; 2024: 10; 2025: 2; 2026: 3.

86 papers.

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  1. 2021Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edgecited by 56
  2. 2022OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Imagescited by 47
  3. 2021Machine learning based disease diagnosis: A comprehensive reviewcited by 30
  4. 2021Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantificationcited by 21
  5. 2022Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approachescited by 15
  6. 2021Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scanscited by 13
  7. 2021Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Datacited by 13
  8. 2022A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicroncited by 13
  9. 2022Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16cited by 13
  10. 2021Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpuscited by 12
  11. 2022COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNscited by 12
  12. 2021Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray imagescited by 10
38 more
  1. 2021COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approachcited by 8
  2. 2021UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detectioncited by 8
  3. 2021Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostcited by 8
  4. 2021COVID-19 Modeling: A Reviewcited by 7
  5. 2021The Prominence of Artificial Intelligence in COVID-19cited by 7
  6. 2021Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizabilitycited by 5
  7. 2021Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19cited by 5
  8. 2021Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A reviewcited by 5
  9. 2022Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBMcited by 4
  10. 2021Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Reviewcited by 3
  11. 2021Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentationcited by 3
  12. 2022Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBMcited by 3
  13. 2022Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insightscited by 3
  14. 2022Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensemblingcited by 3
  15. 2023DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problemcited by 3
  16. 2024Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Studycited by 3
  17. 2021Machine learning applications for COVID-19: A state-of-the-art reviewcited by 2
  18. 2021COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancingcited by 2
  19. 2021Semi-supervised Learning for COVID-19 Image Classification via ResNetcited by 2
  20. 2021Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Surveycited by 2
  21. 2022A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Studycited by 2
  22. 2023Performance of GAN-based augmentation for deep learning COVID-19 image classificationcited by 2
  23. 2023An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging for High Precision COVID-19 Diagnosticscited by 2
  24. 2023Case Studies on X-Ray Imaging, MRI and Nuclear Imagingcited by 2
  25. 2024MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classificationcited by 2
  26. 2021Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Networkcited by 1
  27. 2021Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounderscited by 1
  28. 2021Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraintcited by 1
  29. 2021Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Imagescited by 1
  30. 2021Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosiscited by 1
  31. 2021CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosiscited by 1
  32. 2021A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imagingcited by 1
  33. 2021Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the Systemcited by 1
  34. 2021CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Imagescited by 1
  35. 2022An Intensity and Phase Stacked Analysis of Phase-OTDR System using Deep Transfer Learning and Recurrent Neural Networkscited by 1
  36. 2023Fitness Dependent Optimizer with Neural Networks for COVID-19 patientscited by 1
  37. 2023Transfer learning method in the problem of binary classification of chest X-rayscited by 1
  38. 2023COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classificationcited by 1

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