Diabetic Retinopathy Detection with Artificial Intelligence
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Diabetic Retinopathy Detection with Artificial Intelligence

أبرز محتويات الدورة

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.

حول مقدم الدورة

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الطبع بواسطة

  • self
    التعلم الذاتي
  • dueration
    المدة 4 ساعات
  • domain
    الاختصاص علم البيانات والذكاء الاصطناعي
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    Buy Now مجاني
  • language
    اللغة الإنكليزية