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

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Published Feb 15, 2017

Diabetic retinopathy is the fastest growing cause of blindness. 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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Category: Tutorials

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

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