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      Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

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          Abstract

          Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation.

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          Author and article information

          Journal
          JAMA
          JAMA
          American Medical Association (AMA)
          1538-3598
          0098-7484
          December 13 2016
          : 316
          : 22
          Affiliations
          [1 ] Google Inc, Mountain View, California.
          [2 ] Google Inc, Mountain View, California2Department of Computer Science, University of Texas, Austin.
          [3 ] EyePACS LLC, San Jose, California4School of Optometry, Vision Science Graduate Group, University of California, Berkeley.
          [4 ] Aravind Medical Research Foundation, Aravind Eye Care System, Madurai, India.
          [5 ] Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
          [6 ] Verily Life Sciences, Mountain View, California8Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
          Article
          2588763
          10.1001/jama.2016.17216
          27898976

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