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Showing 1–2 of 2 results
Advanced filters: Author: Elizaveta Lavrova 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
  • The Radiomics Quality Score (RQS) was developed to assess the rigour of studies using radiomics, a tool for medical imaging analysis. The RQS has been widely used in the field and now needs an update (RQS 2.0) to address contemporary needs. The authors of this Review introduce RQS 2.0, which integrates radiomics readiness levels to provide a structured framework towards clinical implementation.

    • Philippe Lambin
    • Henry C. Woodruff
    • Zohaib Salahuddin
    Reviews
    Nature Reviews Clinical Oncology
    Volume: 22, P: 831-846