COVID-19 Diagnosis

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

12 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 84 papers with code (211 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• COVID-CT-Dataset: A CT Scan Dataset about COVID-19
  30 Mar 2020 17 repositories listed
  Using this dataset, we develop diagnosis methods based on multi-task learning and self-supervised learning, that achieve an F1 of 0.
• COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
  22 Mar 2020 16 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  Motivated by this and inspired by the open source efforts of the research community, in this study we introduce COVID-Net, a deep convolutional neural network design tailored for the detection of COVID-19 cases from…
• COVID-19 Image Data Collection
  25 Mar 2020 13 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  This paper describes the initial COVID-19 open image data collection.
• A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
  27 Apr 2020 9 repositories listed
  In this paper, we compare and evaluate different testing protocols used for automatic COVID-19 diagnosis from X-Ray images in the recent literature.
• Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
  10 Jun 2020 4 repositories listed
  This work opens the door to further investigation of how automatically analysed respiratory patterns could be used as pre-screening signals to aid COVID-19 diagnosis.
• Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging
  17 Aug 2023 2 repositories listed
  The study underscores the potential of VIT to improve the reproducibility and clinical relevance of AI systems in medical imaging.
• Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images
  22 Nov 2021 2 repositories listed
  Secondly, the original dataset was processed via anatomy-relevant masking of slice, removing none-representative slices from the CT volume, and hyperparameters tuning.
• Label-Assemble: Leveraging Multiple Datasets with Partial Labels
  25 Sep 2021 2 repositories listed
  We discovered that learning from negative examples facilitates both computer-aided disease diagnosis and detection.
• A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset
  4 Jun 2020 2 repositories listed
  At the next stage, we propose a modified version of ResNet50V2 that is enhanced by a feature pyramid network for classifying the selected CT images into COVID-19 or normal.
• Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
  3 Jun 2020 2 repositories listed
  The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors.
• A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays
  30 Apr 2020 2 repositories listed
  Purpose: We present image classifiers based on Dense Convolutional Networks and transfer learning to classify chest X-ray images according to three labels: COVID-19, pneumonia and normal.
• Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
  13 Apr 2020 2 repositories listed
  Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important.
• COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
  6 Apr 2020 2 repositories listed
  Pre-training with a dataset of similar nature further improved accuracy to 98.
• AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
  2 Apr 2020 2 repositories listed
  Building on the prior work on cough-based diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a…
• Region-specific Risk Quantification for Interpretable Prognosis of COVID-19
  5 May 2024 1 repository listed
  The COVID-19 pandemic has strained global public health, necessitating accurate diagnosis and intervention to control disease spread and reduce mortality rates.
• COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanism
  18 Mar 2024 1 repository listed
  Manual analysis and diagnosis of COVID-19 through the examination of Computed Tomography (CT) images of the lungs can be time-consuming and result in errors, especially given high volume of patients and numerous images…
• Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning
  25 Jan 2024 1 repository listed
  Our proposed AI model utilizes supervised contrastive learning to minimize bias in CXR diagnosis.
• CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis
  24 Nov 2023 1 repository listed
  Lastly, the results of the comparison of XAI techniques show that Grad-Cam gives the best explanations compared to LIME and IG, by achieving a Dice coefficient of 55%, on COVID-19 positive scans, compared to 29% and 24%…
• C2C: Cough to COVID-19 Detection in BHI 2023 Data Challenge
  1 Nov 2023 1 repository listed
  This report describes our submission to BHI 2023 Data Competition: Sensor challenge.
• COVID-19 detection using ViT transformer-based approach from Computed Tomography Images
  12 Oct 2023 1 repository listed
  This method involves evaluating all CT slices for a given patient and assigning the patient the diagnosis that relates to the thresholding for the CT scan.
• Enhancing COVID-19 Severity Analysis through Ensemble Methods
  13 Mar 2023 1 repository listed
  Computed Tomography (CT) scans provide a detailed image of the lungs, allowing clinicians to observe the extent of damage caused by COVID-19.
• CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
  5 Feb 2023 1 repository listed
  With remarkable feature capture ability and generalization ability, we believe CECT can be extended to other medical scenarios as a powerful diagnosis tool.
• DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis
  12 Nov 2022 1 repository listed
  To reduce the workload of radiologists, we propose DeltaNet to generate medical reports automatically.
• CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis
  20 Sep 2022 1 repository listed
  In this research, the PyTorch pre-trained models (VGG19\_bn and WideResNet -101) are applied in the MNIST dataset for the first time as initialization and with modified fully connected layers.
• Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
  3 Aug 2022 1 repository listed
  To improve the diagnostic performance of CXR imaging a growing number of studies have investigated whether supervised deep learning methods can provide additional support.
• COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images
  1 Jul 2022 1 repository listed
  Finally, the adaptability of the modified Xception trasnfer learning-based model to the unique features of the COV19-CT-DB dataset showcases its potential as a robust tool for enhanced COVID-19 diagnosis from CT images.
• Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptoms
  9 Jun 2022 1 repository listed
  The COVID-19 pandemic has accelerated research on design of alternative, quick and effective COVID-19 diagnosis approaches.
• COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentation
  15 May 2022 1 repository listed
  With the Coronavirus disease 2019 (COVID-19) spread, causing a world pandemic, and recently, the virus new variants continue to appear, making the situation more challenging and threatening, the visual assessment and…
• A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-Scans
  28 Mar 2022 1 repository listed
  Hence, different CNN models were used in the current study to identify variations in chest CT scans, with accuracies ranging from 91% to 98%.
• COVID-WideNet—A capsule network for COVID-19 detection
  22 Mar 2022 1 repository listed
  In this paper, we propose a capsule network called COVID-WideNet for diagnosing COVID-19 cases using Chest X-ray (CXR) images.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.