August 28 to 30 2018, Santa Clara, CA.

Speaker "Roberto Reif" Details

Name :
roberto reif
Company :
Title :
Data Scientist
Topic :

Classification of diabetic and non-diabetic retinopathy from optical coherence tomography images using transfer learning

Abstract :

The goal of this project is to diagnose diabetic retinopathy from Optical Coherence Tomography images obtained from the retina of the eye.  Specifically, we used a Deep Learning model, such as Convolutional Neural Networks (CNN), to perform the image classification.  Given that we have a small dataset, we use a transfer learning technique.

Profile :
I am currently a Senior Data Scientist at Metis and the founder of Analysis Consulting LLC, a data science and data visualization firm. I am a scientist with a strong background in data analysis, and image/signal processing. I have worked on applications in the healthcare, internet of things and business intelligence market. Previously I studied electrical and biomedical engineering, and have work experience in large companies, startups, and academic/research institutions.

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