Datasets contain CT scans of COVID-19 patients from Faculty hospital of Královké Vinohrady in DICOM (and TIFF) used in paper Estimation of Covid-19 lungs damage based on computer tomography images analysis presenting the tool is available on F1000reserach DOI: 10.12688/f1000research.109020.1. The tool sued for the analysis of the dataset is published in Zenodo (10.5281/zenodo.5805990). Data were anonymized before exporting. Each patient has a folder with a unique ID, subfolder contains TIFF image for reach CT slice, and whenever possible DICOM files are added. All files contain ID and data format in the name. The CT data overview is in CSV for the whole dataset. Contributions: Martin SCHÄTZ: Dataset preparation and couration Olga RUB...
Purpose. To retrospectively analyze lung CT images from the COVID-Center in the National Medical Res...
The National COVID-19 Chest Imaging Database (NCCID) is a centralised database containing chest X-ra...
This data set is part of the public development data for the 2023 Automated Universal Classification...
Purpose: the purpose of this study was to assess the evolution of computed tomography (CT) findings ...
Purpose: The purpose of this study was to assess the evolution of computed tomography (CT) findings ...
The software tool is developed on demand of Radiological Department of Faculty Hospital of Královské...
We uploaded the CT slices with suspected COVID-19 pneumonia signs marked by radiologists for each pa...
The objective of the study: To compare the degree of lung damage according to chest CT data to the c...
Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinica...
Background: the National COVID-19 Chest Imaging Database (NCCID) is a centralized database containin...
The dataset is organized into 3 folders (covid, pneumonia , normal) and metadata.csv which contain c...
International audienceCOVID-19 infection recognition is a very important step in the fight against t...
We uploaded the complete database of the manuscript: Grassi R, Cappabianca S, Urraro F, Feragalli B,...
Background: The National COVID-19 Chest Imaging Database (NCCID) is a centralized database containin...
The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomogr...
Purpose. To retrospectively analyze lung CT images from the COVID-Center in the National Medical Res...
The National COVID-19 Chest Imaging Database (NCCID) is a centralised database containing chest X-ra...
This data set is part of the public development data for the 2023 Automated Universal Classification...
Purpose: the purpose of this study was to assess the evolution of computed tomography (CT) findings ...
Purpose: The purpose of this study was to assess the evolution of computed tomography (CT) findings ...
The software tool is developed on demand of Radiological Department of Faculty Hospital of Královské...
We uploaded the CT slices with suspected COVID-19 pneumonia signs marked by radiologists for each pa...
The objective of the study: To compare the degree of lung damage according to chest CT data to the c...
Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinica...
Background: the National COVID-19 Chest Imaging Database (NCCID) is a centralized database containin...
The dataset is organized into 3 folders (covid, pneumonia , normal) and metadata.csv which contain c...
International audienceCOVID-19 infection recognition is a very important step in the fight against t...
We uploaded the complete database of the manuscript: Grassi R, Cappabianca S, Urraro F, Feragalli B,...
Background: The National COVID-19 Chest Imaging Database (NCCID) is a centralized database containin...
The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomogr...
Purpose. To retrospectively analyze lung CT images from the COVID-Center in the National Medical Res...
The National COVID-19 Chest Imaging Database (NCCID) is a centralised database containing chest X-ra...
This data set is part of the public development data for the 2023 Automated Universal Classification...