Case Study: TensorFlow in Medicine - Retinal Imaging (TensorFlow Dev Summit 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.
Visit the TensorFlow website for all session recordings: https://goo.gl/bsYmza
Subscribe to the Google Developers channel at http://goo.gl/mQyv5L
Видео Case Study: TensorFlow in Medicine - Retinal Imaging (TensorFlow Dev Summit 2017) канала Google Developers
Visit the TensorFlow website for all session recordings: https://goo.gl/bsYmza
Subscribe to the Google Developers channel at http://goo.gl/mQyv5L
Видео Case Study: TensorFlow in Medicine - Retinal Imaging (TensorFlow Dev Summit 2017) канала Google Developers
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