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Showing 1–1 of 1 results
Advanced filters: Author: Esma Kayan Clear advanced filters
  • Correct interpretation of computer tomography (CT) scans is important for the correct assessment of a patient’s disease but can be subjective and timely. Here, the authors develop a system that can automatically segment the non-small cell lung cancer on CT images of patients and show in an in silico trial that the method was faster and more reproducible than clinicians.

    • Sergey P. Primakov
    • Abdalla Ibrahim
    • Philippe Lambin
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-12