Uploaded image for project: 'NLST Data Requests'
  1. NLST Data Requests
  2. NDR-181

NLST-609 Request for Path Images

XMLWordPrintable

      https://cdas.cancer.gov/approved-projects/2429/.

       

      This is an approved project at a US institution requesting Path images only.

      Prediction of Lung cancer and mortality using machine learning and deep learning

      Principal Investigator

      Name
      Thu Cao
      Degrees
      MA
      Institution
      Columbia University Medical Center
      Position Title
      Data Analyst
      Email
      ttc2131@cumc.columbia.edu

      About this Project

      Study
      NLST (Learn more about this study)
      Project ID
      NLST-609
      Title
      Prediction of Lung cancer and mortality using machine learning and deep learning
      Summary
      Using radiological, histological images and clinical information from the NLST, we are aiming to develop predictive models using machine learning and deep learning techniques to automatically detect lung lesions and predict mortality.
      Aims
      1. Determine an effective approach for data processing for most accurate predictive model.
      2. Develop an effective deep learning and machine learning model to identify lung lessons
      3. Build a machine leaning model to predict mortality with high accuracy
      Collaborators
      B. Payne Stanifer, MD – Columbia University Medical Center

            tracyn T Nolan
            tracyn T Nolan
            Votes:
            0 Vote for this issue
            Watchers:
            0 Start watching this issue

              Created:
              Updated:
              Resolved: