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. Measurement(s) Low Dose Computed Tomography of the Chest • viral infectious disease Technology Type(s) digital curation • image processing technique Factor Type(s) sex • gender • age group • weight • clinical characteristics • covid-19 RT-PCR result • follow-up data Sample Characteristic – Organism Homo sapiens Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.13583015
【저자키워드】 viral infection, imaging, 【초록키워드】 COVID-19, Clinical characteristics, machine learning, technology, Diagnosis, Sex, Gender, complement, RT-PCR, community acquired pneumonia, Novel coronavirus, Spread, Computed tomography, reverse transcription polymerase chain reaction, polymerase chain reaction, sensitivity, Viral, CT scan, Chest, Image processing, weight, Metadata, age, network, dataset, Follow-up, contagious disease, diagnostic methods, novel, characteristic, Chest radiograph, disease, COVID-19 cases, CXR, referred to, Chain Reaction, imaging modality, Homo sapiens, community acquired, Healthcare systems, Factor, digital curation, reaction, subject, chain, participant, COVID-19 research, contagious, Radiograph, RT- PCR, viral infectious disease, country, deep, Sample, healthy, reported, facilitate, can be used, affecting, Neural, assist, accompanied, Acquired, Homo sapien, 【제목키워드】 COVID-19, deep learning, dataset,