Diabetic Retinopathy Detection with Artificial Intelligence

Übersicht

In this project, we will train a deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and is estimated to affect over 347 million people worldwide.

It is a disease that results from complications of type 1 and type 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time. With the power of Artificial Intelligence and Deep Learning, doctors will be able to detect blindness before it occurs.

University:

Provider:

Categories:

Artificial Intelligence Courses, Health Care Courses, Deep Learning Courses

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Unterrichtet von

Ryan Ahmed

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Fachgebiete