Collection 

Computed Tomography (CT) Datasets

Submission status
Open
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This Collection supports and amplifies research related to:
SDG 3 - Good Health and Well-being

Computed Tomography (CT) imaging is a medical imaging technique that uses specialized X-ray equipment to create cross-sectional images, which can be used individually or combined to form three-dimensional images. This non-invasive technique can provide detailed information to help diagnose injuries and illnesses, detect disease, and help guide medical procedures. This Collection highlights a series of articles that describe CT imaging datasets. Datasets are presented without hypotheses or conclusions, and analyses should focus on validating the dataset to ensure reliability and quality for reuse in the community.

For all datasets that contain data from participants, please complete our Human Data Checklist at the time of submission and supply a copy with the manuscript files. All described datasets are assessed to ensure their open availability (where possible) or secure access controls (where required) via Scientific Data's editorial and peer review processes.

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Computed tomography (CT scan) of upper abdomen with contrast media, a case of liver abscess

Editors

  • Mario Castelán, PhD , 

    Mario Castelán, PhD

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, México

  • Song-Quan Ong, PhD  &

    Song-Quan Ong, PhD

    Universiti Malaysia Sabah, Malaysia; Aarhus University, Denmark

  • Naoufel Werghi, PhD

    Naoufel Werghi, PhD

    Khalifa University, United Arab Emirates

Articles will be displayed here once they are published.