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Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review

arXiv 2206.05615 ↗First posted 11 Jun 2022eess.IV cs.CV cs.LGcited by 0

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Abstract (arXiv)

There is a necessity to develop affordable, and reliable diagnostic tools, which allow containing the COVID-19 spreading. Machine Learning (ML) algorithms have been proposed to design support decision-making systems to assess chest X-ray images, which have proven to be useful to detect and evaluate disease progression. Many research articles are published around this subject, which makes it difficult to identify the best approaches for future work. This paper presents a systematic review of ML applied to COVID-19 detection using chest X-ray images, aiming to offer a baseline for researchers in terms of methods, architectures, databases, and current limitations.

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16 of 94 references.

References · 16

  1. 2019CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparisoncited by 1,410
  2. 2020Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Imagescited by 184
  3. 2020Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scanscited by 158
  4. 2020Explainable deep learning models in medical image analysiscited by 111
  5. 2020COVID-19 Image Data Collectioncited by 100
  6. 2020Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networkscited by 92
  7. 2020Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networkscited by 86
  8. 2020BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientscited by 81
  9. 2020CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray imagescited by 68
  10. 2021CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detectioncited by 64
  11. 2020Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19cited by 62
  12. 2020Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rayscited by 21
4 more
  1. 2020Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small datacited by 20
  2. 2020COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarioscited by 19
  3. 2020Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseasescited by 13
  4. 2020Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approachcited by 8

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