MAGIC-CT is a comprehensive, multimodal dataset designed to advance artificial intelligence in abdominal oncology. It addresses the critical need for resources that bridge the gap between radiological imaging and clinical language by pairing high-resolution 3D Computed Tomography (CT) scans with expert-authored radiology reports.

The dataset includes 562 patients with various abdominal tumors, covering 7 distinct pathologies across 4 organs:

Liver: Liver Cysts, Liver Cancer (Hepatocellular Carcinoma)
Lungs: Lung Metastases, Lung Cancer
Kidneys: Kidney Cysts, Renal Cancer
Pancreas: Pancreatic Cancer

Each patient case features at least one annotated CT scan with detailed 3D segmentation masks that delineate tumor boundaries and key anatomical structures. These visual data are paired with a radiologist-authored report that provides a comprehensive narrative of organ-specific findings and the overall abdominal status. With over 1,250 annotated lesions and 850 textual findings, MAGIC-CT offers the granular spatial-textual alignment required for training robust multimodal AI systems.

This resource enables significant advancements in AI-driven tumor characterization, automated report generation, and metastasis tracking, with profound implications for the future of precision oncology.

Dataset Access

The full MAGIC-CT dataset is hosted on Google Drive due to its large size. You can access and download it using the following link:

Download the MAGIC-CT Dataset from Google Drive

Dataset Structure

The dataset is organized into three main folders: scans, segmentations, and reports.

/scans: Contains all imaging data in anonymized .nrrd format.
/segmentations: Contains the corresponding 3D segmentation masks, also in .nrrd format.
/reports: Contains structured .json files with patient metadata and narrative reports in English (en), Russian (ru), and Kazakh (kz).

An example of the .json report structure is as follows:

{
  "encrypted_patient_id": "abc12345",
  "age": 65,
  "gender": "male",
  "screening_date": "2023-04-17",
  "ru": {
    "liver": "...",
    "pancreas": "...",
    "kidneys": "..."
  },
  "kz": {
    "liver": "...",
    "pancreas": "...",
    "kidneys": "..."
  },
  "en": {
    "liver": "The liver has a homogeneous structure; no focal lesions detected.",
    "pancreas": "Mass identified in the pancreatic body, measuring 5.3×3.5 cm...",
    "kidneys": "Small cortical cysts in both kidneys, no hydronephrosis."
  }
}

Citation Information

If you use the MAGIC-CT dataset in your research, please cite our paper:

@article{TBA}

This dataset was developed by the Department of Computer Science, School of Engineering and Digital Sciences at Nazarbayev University, Astana, Kazakhstan.

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