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  • 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
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