Case Study: TensorFlow in Medicine - Retinal Imaging (TensorFlow Dev Summit 2017)

Diabetic retinopathy is the fastest growing cause of blindness as there are 415 millions of people in the world with diabetes and with its risks. Regular screening is key to prevent blindness. DR (Diabetic Retinopathy) can be diagnosed using a range of retinal fundus images. Learn from Lily Peng how TensorFlow was trained to analyze retinal fundus images to diagnose this condition. She describes the project steps: from acquiring a dataset, training a deep network, and evaluating of the results.

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