mlsanityData to 14 Oct 2026

Reliable COVID-19 Detection Using Chest X-ray Images

arXiv 2101.12254 ↗First posted 28 Jan 2021eess.IV cs.CV cs.LGcited by 5

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Abstract (arXiv)

Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest X-ray (CXR) images. However, the data scarcity in these studies prevents a reliable evaluation with the potential of overfitting and limits the performance of deep networks. Moreover, these networks can discriminate COVID-19 pneumonia usually from healthy subjects only or occasionally, from limited pneumonia types. Thus, there is a need for a robust and accurate COVID-19 detector evaluated over a large CXR dataset. To address this need, in this study, we propose a reliable COVID-19 detection network: ReCovNet, which can discriminate COVID-19 pneumonia from 14 different thoracic diseases and healthy subjects. To accomplish this, we have compiled the largest COVID-19 CXR dataset: QaTa-COV19 with 124,616 images including 4603 COVID-19 samples. The proposed ReCovNet achieved a detection performance with 98.57% sensitivity and 99.77% specificity.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 14 of its 30 references that are in the map. First posted on arXiv 28 Jan 2021.

Builds on

14 of 30 references.

References · 14

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  12. 2020COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approachescited by 14
2 more
  1. 2020PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Imagescited by 8
  2. 2020COVID-19 Classification of X-ray Images Using Deep Neural Networkscited by 8

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1; 2026: 1.

5 papers.

  1. 2022OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Imagescited by 48
  2. 2024Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcarecited by 12
  3. 2025MedSG-Bench: A Benchmark for Medical Image Sequences Groundingcited by 8
  4. 2023Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Imagescited by 1
  5. 2026PaCX-MAE: Physiology-Augmented Chest X-Ray Masked Autoencodercited by 0