ArticleScientific data2021
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed.
- LobePrior segments lung lobes on computed tomography images in the presence of severe abnormalities.Scientific reports · 2026Article
- Radiomics dataset from chest CT of clinically healthy adults.Data in brief · 2026Article
- An efficient dual path deep learning framework for COVID-19 classification using lung CT scans with explainable AI.Scientific reports · 2026Article
- Codebook-guided multi-cue normality modeling for pulmonary CT anomaly detection.Frontiers in medicine · 2026Article
- Utility of the virtual imaging trials methodology for objective characterization of AI systems and training data.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- A generalizable 3D framework and model for self-supervised learning in medical imaging.NPJ digital medicine · 2025Article
- RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image Pretraining.IEEE transactions on neural networks and learning systems · 2025Article
- Efficient sparse-view medical image classification for low radiation and rapid COVID-19 diagnosis.Biomedical engineering letters · 2025Article
- FairDiffusion: Enhancing equity in latent diffusion models via fair Bayesian perturbation.Science advances · 2025Article
- RETRACTED: LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.PloS one · 2025Article
- A multimodal dental dataset facilitating machine learning research and clinic services.Scientific data · 2024Article
- Addressing fairness issues in deep learning-based medical image analysis: a systematic review.NPJ digital medicine · 2024Review
- A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine.BMC infectious diseases · 2024Article
- A survey of recent methods for addressing AI fairness and bias in biomedicine.Journal of biomedical informatics · 2024Review
- Clinical application of high-resolution spiral CT scanning in the diagnosis of auriculotemporal and ossicle.BMC medical imaging · 2024Article
- COVID-19 detection in lung CT slices using Brownian-butterfly-algorithm optimized lightweight deep features.Heliyon · 2024Article
- Article
- CoSev: Data-Driven Optimizations for COVID-19 Severity Assessment in Low-Sample Regimes.Diagnostics (Basel, Switzerland) · 2024Article
- HRCTCov19-a high-resolution chest CT scan image dataset for COVID-19 diagnosis and differentiation.BMC research notes · 2024Article
- Potential diagnostic application of a novel deep learning- based approach for COVID-19.Scientific reports · 2024Article
11 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
Abstract
Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries affecting millions and claiming almost 2 million lives, since its emergence in late 2019. This highly contagious disease can easily spread, and if not controlled in a timely fashion, can rapidly incapacitate healthcare systems. The current standard diagnosis method, the Reverse Transcription Polymerase Chain Reaction (RT- PCR), is time consuming, and subject to low sensitivity. Chest Radiograph (CXR), the first imaging modality to be used, is readily available and gives immediate results. However, it has notoriously lower sensitivity than Computed Tomography (CT), which can be used efficiently to complement other diagnostic methods. This paper introduces a new COVID-19 CT scan dataset, referred to as COVID-CT-MD, consisting of not only COVID-19 cases, but also healthy and participants infected by Community Acquired Pneumonia (CAP). COVID-CT-MD dataset, which is accompanied with lobe-level, slice-level and patient-level labels, has the potential to facilitate the COVID-19 research, in particular COVID-CT-MD can assist in development of advanced Machine Learning (ML) and Deep Neural Network (DNN) based solutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.