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Lung Cancer CT Images - 150,000+ studies

Dataset comprises 50,000+ studies with protocol and 100,000+ studies without protocol, featuring 24 pathologies for comprehensive medical imaging analysis. It provides detailed cross-sectional images of the chest, enabling advanced research in lung diseases, pulmonary nodules, and heart disease. - Get the data

Dataset characteristics:

Characteristic Data
Description Chest CT scans with or without protocols
Data Types DICOM
Markup Segmentation of pathologies
Tasks Pathology recognition, computer vision
Number of Studies 150,000+ (50,000+ with protocol, 100,000+ without protocol)
Labeling Binary labels per study (1 = pathology present, 0 = absent)
Pathologies Developmental anomalies of the lower airways, Destruction/abscess of the lung,
Chest soft tissue changes (breast/mammary gland masses), Pulmonary embolism,
Pulmonary airflow disorders, Lung cancer, Osteoporosis, Hydrothorax,
Coronary calcium, Aortic aneurysm, Pulmonary trunk dilation,
Lymph node abnormalities, Pulmonary emphysema, Tuberculosis, Sarcoidosis

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Dataset structure

  • files β€” studies
  • labels β€”file contains metadata and labels.

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