Diabetic Retinopathy Detection with Artificial Intelligence
In this project, we will train 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 estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 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.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by GKMar 25, 2021
Well Instructed Project. Step by step explanation and analysis of every problem is simply excellent. Highly recommended project.
by ABSep 12, 2021
The course is very nicely explained. I would recommend this project for those who have some prior experience in Python and CNN to try out this exciting real world project.