Chevron Left
Voltar para Diabetic Retinopathy Detection with Artificial Intelligence

Comentários e feedback de alunos de Diabetic Retinopathy Detection with Artificial Intelligence da instituição Coursera Project Network

4.5
estrelas
34 classificações

Sobre o curso

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....

Melhores avaliações

AB

12 de set de 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.

GK

25 de mar de 2021

Well Instructed Project. Step by step explanation and analysis of every problem is simply excellent. Highly recommended project.

Filtrar por:

1 — 10 de 10 Avaliações para o Diabetic Retinopathy Detection with Artificial Intelligence

por Pavan k

26 de mar de 2021

por Hualai T

29 de mar de 2021

por Paul M

14 de mar de 2022

por ESTIBALIZ D

8 de abr de 2021

por Pranjali A

21 de dez de 2020

por Megan D

21 de dez de 2021

por Asutosh B

13 de set de 2021

por Reem A

13 de jul de 2021

por Edward N

9 de set de 2021

por Karthik K

14 de set de 2022