NYU Data Catalog

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Results Found: 2
  • NYU Dataset

    Radiologist and Deep Neural Network Predictions for Low-pass Filtered Mammograms

    Authors
    Taro Makino
    Stanisław Jastrzębski
    Witold Oleszkiewicz
    Celin Chacko
    17 more author(s)...
    Description

    Investigators manipulated images from the NYU Breast Cancer Screening Dataset to identify differences in the the features of perception used in diagnosis by radiologists versus deep neural networks (DNNs). Two studies were conducted. In the reader study, a set of 720 exams were processed with Gaussian low-pass filtering at varying severity levels and ten radiologists and five DNNs (trained on unperturbed...

    Subject
    Cancer
    Access Rights
    Free to All

  • Multicenter Osteoarthritis Study

    Alternate Title(s)
    MOST
    Authors
    Neil A. Segal
    Michael C. Nevitt
    K. Douglas Gross
    Jean Hietpas
    3 more author(s)...
    Description

    The Multicenter Osteoarthritis Study (MOST) is an ongoing longitudinal study which aims to identify novel and modifiable biomechanical factors (e.g., physical activity), bone and joint structural factors (assessed through knee MRI), and nutritional factors that are associated with the onset and progression of osteoarthritis (OA)-related knee symptoms and radiographic knee OA. A secondary aim is to...

    Subject
    Chronic Disease
    Risk Factors
    Access Rights
    Application Required
    Author Approval Required
    Local Expert
    Cem Deniz